| sklearn/__check_build/__init__.py |
raise_build_error |
10 |
1 |
0 |
6 |
1 |
88% |
| sklearn/__check_build/__init__.py |
(no function) |
8 |
2 |
0 |
0 |
0 |
75% |
| sklearn/__init__.py |
setup_module |
8 |
1 |
0 |
2 |
1 |
80% |
| sklearn/__init__.py |
(no function) |
30 |
2 |
0 |
2 |
1 |
91% |
| sklearn/_config.py |
_get_threadlocal_config |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_config.py |
get_config |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_config.py |
set_config |
23 |
0 |
0 |
20 |
0 |
100% |
| sklearn/_config.py |
config_context |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_config.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_distributor_init.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/__init__.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
Interval.__post_init__ |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/link.py |
Interval.includes |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/link.py |
_inclusive_low_high |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/_loss/link.py |
BaseLink.link |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
BaseLink.inverse |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
IdentityLink.link |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/link.py |
LogLink.link |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
LogLink.inverse |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
LogitLink.link |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
LogitLink.inverse |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
HalfLogitLink.link |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
HalfLogitLink.inverse |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
MultinomialLogit.symmetrize_raw_prediction |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
MultinomialLogit.link |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/link.py |
MultinomialLogit.inverse |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/link.py |
(no function) |
44 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.in_y_true_range |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.in_y_pred_range |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.loss |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.loss_gradient |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.gradient |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.gradient_hessian |
15 |
0 |
0 |
12 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.__call__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.fit_intercept_only |
15 |
2 |
0 |
10 |
2 |
84% |
| sklearn/_loss/loss.py |
BaseLoss.constant_to_optimal_zero |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
BaseLoss.init_gradient_and_hessian |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfSquaredError.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
AbsoluteError.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
AbsoluteError.fit_intercept_only |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
PinballLoss.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
PinballLoss.fit_intercept_only |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
HuberLoss.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
HuberLoss.fit_intercept_only |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfPoissonLoss.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfPoissonLoss.constant_to_optimal_zero |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfGammaLoss.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfGammaLoss.constant_to_optimal_zero |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfTweedieLoss.__init__ |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfTweedieLoss.constant_to_optimal_zero |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfTweedieLossIdentity.__init__ |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfBinomialLoss.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfBinomialLoss.constant_to_optimal_zero |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfBinomialLoss.predict_proba |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfMultinomialLoss.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfMultinomialLoss.in_y_true_range |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfMultinomialLoss.fit_intercept_only |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfMultinomialLoss.predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
HalfMultinomialLoss.gradient_proba |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/loss.py |
ExponentialLoss.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/loss.py |
ExponentialLoss.constant_to_optimal_zero |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/loss.py |
ExponentialLoss.predict_proba |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/_loss/loss.py |
(no function) |
66 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_link.py |
test_interval_raises |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/tests/test_link.py |
test_is_in_range |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_link.py |
test_link_inverse_identity |
14 |
0 |
0 |
6 |
1 |
95% |
| sklearn/_loss/tests/test_link.py |
test_link_out_argument |
20 |
0 |
0 |
4 |
1 |
96% |
| sklearn/_loss/tests/test_link.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
loss_instance_name |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
random_y_true_raw_prediction |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
numerical_derivative |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_boundary |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_boundary_y_true |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_boundary_y_pred |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_on_specific_values |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_dtype |
31 |
1 |
0 |
18 |
1 |
96% |
| sklearn/_loss/tests/test_loss.py |
test_loss_same_as_C_functions |
23 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_gradients_are_the_same |
35 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_sample_weight_multiplies |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_graceful_squeezing |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_of_perfect_prediction |
20 |
0 |
0 |
10 |
2 |
93% |
| sklearn/_loss/tests/test_loss.py |
test_gradients_hessians_numerically |
31 |
1 |
0 |
10 |
1 |
95% |
| sklearn/_loss/tests/test_loss.py |
test_gradients_hessians_numerically.loss_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_gradients_hessians_numerically.grad_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_derivatives |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_derivatives.func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_derivatives.fprime |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_derivatives.fprime2 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_intercept_only |
23 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_intercept_only.fun |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_specific_fit_intercept_only |
18 |
1 |
0 |
8 |
1 |
92% |
| sklearn/_loss/tests/test_loss.py |
test_multinomial_loss_fit_intercept_only |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_binomial_and_multinomial_loss |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_binomial_vs_alternative_formulation |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_binomial_vs_alternative_formulation.alt_loss |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_binomial_vs_alternative_formulation.alt_gradient |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_predict_proba |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_init_gradient_and_hessians |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_init_gradient_and_hessian_raises |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_init_parameter_validation |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_loss_pickle |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
test_tweedie_log_identity_consistency |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/_loss/tests/test_loss.py |
(no function) |
84 |
0 |
0 |
4 |
0 |
100% |
| sklearn/_min_dependencies.py |
(no function) |
13 |
0 |
6 |
2 |
0 |
100% |
| sklearn/base.py |
clone |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/base.py |
_clone_parametrized |
29 |
0 |
0 |
22 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._get_param_names |
9 |
0 |
0 |
10 |
0 |
100% |
| sklearn/base.py |
BaseEstimator.get_params |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/base.py |
BaseEstimator.set_params |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/base.py |
BaseEstimator.__sklearn_clone__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
BaseEstimator.__repr__ |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/base.py |
BaseEstimator.__getstate__ |
11 |
3 |
0 |
6 |
1 |
65% |
| sklearn/base.py |
BaseEstimator.__setstate__ |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._get_tags |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._check_n_features |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._check_feature_names |
33 |
0 |
0 |
20 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._check_feature_names.add_names |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._validate_data |
32 |
0 |
0 |
22 |
2 |
96% |
| sklearn/base.py |
BaseEstimator._validate_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._repr_html_ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._repr_html_inner |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
BaseEstimator._repr_mimebundle_ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/base.py |
ClassifierMixin.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
ClassifierMixin._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
RegressorMixin.score |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
RegressorMixin._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
ClusterMixin.fit_predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
ClusterMixin._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
BiclusterMixin.biclusters_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
BiclusterMixin.get_indices |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
BiclusterMixin.get_shape |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/base.py |
BiclusterMixin.get_submatrix |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
TransformerMixin.fit_transform |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/base.py |
OneToOneFeatureMixin.get_feature_names_out |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
ClassNamePrefixFeaturesOutMixin.get_feature_names_out |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
DensityMixin.score |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/base.py |
OutlierMixin.fit_predict |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/base.py |
MultiOutputMixin._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
_UnstableArchMixin._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
is_classifier |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
is_regressor |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
is_clusterer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
is_outlier_detector |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
_fit_context |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
_fit_context.decorator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/base.py |
_fit_context.decorator.wrapper |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/base.py |
(no function) |
80 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
CalibratedClassifierCV.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
CalibratedClassifierCV._get_estimator |
6 |
1 |
0 |
4 |
1 |
80% |
| sklearn/calibration.py |
CalibratedClassifierCV.fit |
55 |
0 |
0 |
30 |
1 |
99% |
| sklearn/calibration.py |
CalibratedClassifierCV.predict_proba |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/calibration.py |
CalibratedClassifierCV.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
CalibratedClassifierCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
CalibratedClassifierCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
_fit_classifier_calibrator_pair |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/calibration.py |
_fit_calibrator |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/calibration.py |
_CalibratedClassifier.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
_CalibratedClassifier.predict_proba |
18 |
0 |
0 |
8 |
0 |
100% |
| sklearn/calibration.py |
_sigmoid_calibration |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/calibration.py |
_sigmoid_calibration.loss_grad |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
_SigmoidCalibration.fit |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
_SigmoidCalibration.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
calibration_curve |
24 |
2 |
0 |
8 |
2 |
88% |
| sklearn/calibration.py |
CalibrationDisplay.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
CalibrationDisplay.plot |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/calibration.py |
CalibrationDisplay.from_estimator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
CalibrationDisplay.from_predictions |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/calibration.py |
(no function) |
50 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/__init__.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
_equal_similarities_and_preferences |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
_equal_similarities_and_preferences.all_equal_preferences |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
_equal_similarities_and_preferences.all_equal_similarities |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
_affinity_propagation |
69 |
2 |
0 |
22 |
2 |
96% |
| sklearn/cluster/_affinity_propagation.py |
affinity_propagation |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/cluster/_affinity_propagation.py |
AffinityPropagation.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
AffinityPropagation._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
AffinityPropagation.fit |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
AffinityPropagation.predict |
9 |
1 |
0 |
6 |
1 |
87% |
| sklearn/cluster/_affinity_propagation.py |
AffinityPropagation.fit_predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_affinity_propagation.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
_fix_connectivity |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
_single_linkage_tree |
23 |
0 |
0 |
10 |
2 |
94% |
| sklearn/cluster/_agglomerative.py |
ward_tree |
78 |
1 |
0 |
32 |
1 |
98% |
| sklearn/cluster/_agglomerative.py |
linkage_tree |
96 |
0 |
0 |
44 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
_complete_linkage |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
_average_linkage |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
_single_linkage |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
_hc_cut |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
AgglomerativeClustering.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
AgglomerativeClustering.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
AgglomerativeClustering._fit |
47 |
0 |
0 |
28 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
AgglomerativeClustering.fit_predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
FeatureAgglomeration.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
FeatureAgglomeration.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
FeatureAgglomeration.fit_predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_agglomerative.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
_scale_normalize |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
_bistochastic_normalize |
11 |
0 |
0 |
6 |
1 |
94% |
| sklearn/cluster/_bicluster.py |
_log_normalize |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
BaseSpectral.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
BaseSpectral._check_parameters |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
BaseSpectral.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
BaseSpectral._svd |
23 |
9 |
0 |
10 |
3 |
64% |
| sklearn/cluster/_bicluster.py |
BaseSpectral._k_means |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
BaseSpectral._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
SpectralCoclustering.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
SpectralCoclustering._check_parameters |
2 |
1 |
0 |
2 |
1 |
50% |
| sklearn/cluster/_bicluster.py |
SpectralCoclustering._fit |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
SpectralBiclustering.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
SpectralBiclustering._check_parameters |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
SpectralBiclustering._fit |
23 |
0 |
0 |
10 |
1 |
97% |
| sklearn/cluster/_bicluster.py |
SpectralBiclustering._fit_best_piecewise |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
SpectralBiclustering._fit_best_piecewise.make_piecewise |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
SpectralBiclustering._project_and_cluster |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bicluster.py |
(no function) |
39 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
_iterate_sparse_X |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_birch.py |
_split_node |
28 |
0 |
0 |
10 |
1 |
97% |
| sklearn/cluster/_birch.py |
_CFNode.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
_CFNode.append_subcluster |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
_CFNode.update_split_subclusters |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
_CFNode.insert_cf_subcluster |
32 |
0 |
0 |
12 |
0 |
100% |
| sklearn/cluster/_birch.py |
_CFSubcluster.__init__ |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_birch.py |
_CFSubcluster.update |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
_CFSubcluster.merge_subcluster |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_birch.py |
_CFSubcluster.radius |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch._fit |
28 |
0 |
0 |
10 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch._get_leaves |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch.partial_fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch._predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch.transform |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch._global_clustering |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/cluster/_birch.py |
Birch._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_birch.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
_BisectingTree.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
_BisectingTree.split |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
_BisectingTree.get_cluster_to_bisect |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
_BisectingTree.iter_leaves |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans._warn_mkl_vcomp |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans._inertia_per_cluster |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans._bisect |
17 |
1 |
0 |
8 |
1 |
92% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans.fit |
31 |
0 |
0 |
10 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans.predict |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans._predict_recursive |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
BisectingKMeans._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_bisect_k_means.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_dbscan.py |
dbscan |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_dbscan.py |
DBSCAN.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_dbscan.py |
DBSCAN.fit |
23 |
0 |
0 |
14 |
0 |
100% |
| sklearn/cluster/_dbscan.py |
DBSCAN.fit_predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_dbscan.py |
DBSCAN._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_dbscan.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_feature_agglomeration.py |
AgglomerationTransform.transform |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/_feature_agglomeration.py |
AgglomerationTransform.inverse_transform |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_feature_agglomeration.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
_brute_mst |
13 |
0 |
0 |
7 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
_process_mst |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
_hdbscan_brute |
16 |
1 |
0 |
10 |
1 |
92% |
| sklearn/cluster/_hdbscan/hdbscan.py |
_hdbscan_prims |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
remap_single_linkage_tree |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
_get_finite_row_indices |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
HDBSCAN.__init__ |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
HDBSCAN.fit |
80 |
0 |
0 |
40 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
HDBSCAN.fit_predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
HDBSCAN._weighted_cluster_center |
20 |
0 |
0 |
10 |
4 |
87% |
| sklearn/cluster/_hdbscan/hdbscan.py |
HDBSCAN.dbscan_clustering |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
HDBSCAN._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/hdbscan.py |
(no function) |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/tests/test_reachibility.py |
test_mutual_reachability_graph_error_sparse_format |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_hdbscan/tests/test_reachibility.py |
test_mutual_reachability_graph_inplace |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/tests/test_reachibility.py |
test_mutual_reachability_graph_equivalence_dense_sparse |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/tests/test_reachibility.py |
test_mutual_reachability_graph_preserve_dtype |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_hdbscan/tests/test_reachibility.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
kmeans_plusplus |
12 |
1 |
0 |
6 |
1 |
89% |
| sklearn/cluster/_kmeans.py |
_kmeans_plusplus |
28 |
0 |
0 |
8 |
1 |
97% |
| sklearn/cluster/_kmeans.py |
_tolerance |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
k_means |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/cluster/_kmeans.py |
_kmeans_single_elkan |
44 |
0 |
0 |
16 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_kmeans_single_lloyd |
34 |
0 |
0 |
16 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_labels_inertia |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._check_params_vs_input |
15 |
0 |
0 |
12 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._warn_mkl_vcomp |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._check_mkl_vcomp |
9 |
1 |
0 |
10 |
1 |
89% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._validate_center_shape |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._check_test_data |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._init_centroids |
22 |
0 |
0 |
12 |
1 |
97% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans.fit_predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans.predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans.score |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_BaseKMeans._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
KMeans.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
KMeans._check_params_vs_input |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
KMeans._warn_mkl_vcomp |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/cluster/_kmeans.py |
KMeans.fit |
44 |
0 |
0 |
20 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
_mini_batch_step |
19 |
0 |
0 |
12 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
MiniBatchKMeans.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
MiniBatchKMeans._check_params_vs_input |
13 |
1 |
0 |
8 |
1 |
90% |
| sklearn/cluster/_kmeans.py |
MiniBatchKMeans._warn_mkl_vcomp |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/cluster/_kmeans.py |
MiniBatchKMeans._mini_batch_convergence |
26 |
0 |
0 |
18 |
1 |
98% |
| sklearn/cluster/_kmeans.py |
MiniBatchKMeans._random_reassign |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
MiniBatchKMeans.fit |
52 |
0 |
0 |
20 |
0 |
100% |
| sklearn/cluster/_kmeans.py |
MiniBatchKMeans.partial_fit |
24 |
0 |
0 |
8 |
1 |
97% |
| sklearn/cluster/_kmeans.py |
(no function) |
67 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
estimate_bandwidth |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
_mean_shift_single_seed |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
mean_shift |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
get_bin_seeds |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
MeanShift.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
MeanShift.fit |
39 |
0 |
0 |
26 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
MeanShift.predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_mean_shift.py |
(no function) |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_optics.py |
OPTICS.__init__ |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_optics.py |
OPTICS.fit |
24 |
1 |
0 |
14 |
2 |
92% |
| sklearn/cluster/_optics.py |
_validate_size |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_optics.py |
_compute_core_distances_ |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/_optics.py |
compute_optics_graph |
25 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/_optics.py |
_set_reach_dist |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/_optics.py |
cluster_optics_dbscan |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_optics.py |
cluster_optics_xi |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/_optics.py |
_extend_region |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/_optics.py |
_update_filter_sdas |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/_optics.py |
_correct_predecessor |
9 |
1 |
0 |
8 |
1 |
88% |
| sklearn/cluster/_optics.py |
_xi_cluster |
56 |
3 |
0 |
30 |
4 |
92% |
| sklearn/cluster/_optics.py |
_extract_xi_labels |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/_optics.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_spectral.py |
cluster_qr |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_spectral.py |
discretize |
41 |
0 |
0 |
14 |
1 |
98% |
| sklearn/cluster/_spectral.py |
spectral_clustering |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_spectral.py |
SpectralClustering.__init__ |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_spectral.py |
SpectralClustering.fit |
32 |
1 |
0 |
18 |
2 |
94% |
| sklearn/cluster/_spectral.py |
SpectralClustering.fit_predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_spectral.py |
SpectralClustering._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/_spectral.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/common.py |
generate_clustered_data |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/common.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_precomputed |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_no_copy |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_affinity_shape |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_precomputed_with_sparse_input |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_predict_error |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_fit_non_convergence |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_equal_mutual_similarities |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_predict_non_convergence |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_non_convergence_regressiontest |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_equal_similarities_and_preferences |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_random_state |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_convergence_warning_dense_sparse |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_correct_clusters |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_sparse_input_for_predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_sparse_input_for_fit_predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
test_affinity_propagation_equal_points |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_affinity_propagation.py |
(no function) |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
MockBiclustering.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
MockBiclustering.get_indices |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_get_submatrix |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
_test_shape_indices |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_spectral_coclustering |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_spectral_biclustering |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
_do_scale_test |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
_do_bistochastic_test |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_scale_normalize |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_bistochastic_normalize |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_log_normalize |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_fit_best_piecewise |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_project_and_cluster |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_perfect_checkerboard |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_spectralbiclustering_parameter_validation |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
test_n_features_in_ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bicluster.py |
(no function) |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_n_samples_leaves_roots |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_partial_fit |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_birch_predict |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_n_clusters |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_sparse_X |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_partial_fit_second_call_error_checks |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
check_branching_factor |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_branching_factor |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
check_threshold |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_threshold |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_birch_n_clusters_long_int |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_transform_match_across_dtypes |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_subcluster_dtype |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
test_both_subclusters_updated |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_birch.py |
(no function) |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_three_clusters |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_sparse |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_n_clusters |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_one_cluster |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_fit_predict |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_dtype_preserved |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_float32_float64_equivalence |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_no_crash_on_empty_bisections |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
test_one_feature |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_bisect_k_means.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_similarity |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_feature |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_sparse |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_sparse_precomputed |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_sparse_precomputed_different_eps |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_input_not_modified |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_input_not_modified_precomputed_sparse_nodiag |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_no_core_samples |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_callable |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_metric_params |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_balltree |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_input_validation |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_pickle |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_boundaries |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_weighted_dbscan |
39 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_core_samples_toy |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_precomputed_metric_with_degenerate_input_arrays |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
test_dbscan_precomputed_metric_with_initial_rows_zero |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_dbscan.py |
(no function) |
39 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_feature_agglomeration.py |
test_feature_agglomeration |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_feature_agglomeration.py |
test_feature_agglomeration_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_feature_agglomeration.py |
test_inverse_transform_Xt_deprecation |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/tests/test_feature_agglomeration.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
check_label_quality |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_outlier_data |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_distance_matrix |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_sparse_distance_matrix |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_feature_array |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_algorithms |
14 |
2 |
0 |
10 |
1 |
79% |
| sklearn/cluster/tests/test_hdbscan.py |
test_dbscan_clustering |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_dbscan_clustering_outlier_data |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_best_balltree_metric |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_no_clusters |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_min_cluster_size |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_callable_metric |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_precomputed_non_brute |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_sparse |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_centers |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_allow_single_cluster_with_epsilon |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_better_than_dbscan |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_usable_inputs |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_sparse_distances_too_few_nonzero |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_sparse_distances_disconnected_graph |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_tree_invalid_metric |
10 |
0 |
0 |
10 |
2 |
90% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_too_many_min_samples |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_precomputed_dense_nan |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_labelling_distinct |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_labelling_thresholding |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_warning_on_deprecated_algorithm_name |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_error_precomputed_and_store_centers |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_cosine_metric_valid_algorithm |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
test_hdbscan_cosine_metric_invalid_algorithm |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hdbscan.py |
(no function) |
65 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_linkage_misc |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_structured_linkage_tree |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_unstructured_linkage_tree |
15 |
0 |
0 |
14 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_height_linkage_tree |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_zero_cosine_linkage_tree |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_agglomerative_clustering_distances |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_agglomerative_clustering |
40 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_agglomerative_clustering_memory_mapped |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_ward_agglomeration |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_single_linkage_clustering |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
assess_same_labelling |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_sparse_scikit_vs_scipy |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_vector_scikit_single_vs_scipy_single |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_mst_linkage_core_memory_mapped |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_identical_points |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_connectivity_propagation |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_ward_tree_children_order |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_ward_linkage_tree_return_distance |
45 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_connectivity_fixing_non_lil |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_int_float_dict |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_connectivity_callable |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_connectivity_ignores_diagonal |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_compute_full_tree |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_n_components |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_affinity_passed_to_fix_connectivity |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_affinity_passed_to_fix_connectivity.FakeAffinity.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_affinity_passed_to_fix_connectivity.FakeAffinity.increment |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_agglomerative_clustering_with_distance_threshold |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_small_distance_threshold |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_cluster_distances_with_distance_threshold |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_agglomerative_clustering_with_distance_threshold_edge_case |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_dist_threshold_invalid_parameters |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_invalid_shape_precomputed_dist_matrix |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_precomputed_connectivity_metric_with_2_connected_components |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
test_deprecation_warning_metric_None |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_hierarchical.py |
(no function) |
63 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_results |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_relocated_clusters |
18 |
5 |
0 |
0 |
0 |
72% |
| sklearn/cluster/tests/test_k_means.py |
test_relocate_empty_clusters |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_elkan_results |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_convergence |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_update_consistency |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
_check_fitted_model |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_all_init |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_kmeans_partial_fit_init |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_init_auto_with_initial_centroids |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_fortran_aligned_data |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_kmeans_verbose |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_verbose |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_kmeans_warning_init_size |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_warning_n_init_precomputed_centers |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_sensible_reassign |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_reassign |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_with_many_reassignments |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_kmeans_init_size |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_declared_convergence |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_minibatch_iter_steps |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_copyx |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_score_max_iter |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_predict |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_dense_sparse |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_predict_dense_sparse |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_integer_input |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_fit_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_n_init |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_k_means_function |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_float_precision |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_centers_not_mutated |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_init_fitted_centers |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_warns_less_centers_than_unique_points |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
_sort_centers |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_weighted_vs_repeated |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_unit_weights_vs_no_weights |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_scaled_weights |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_elkan_iter_attribute |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_empty_cluster_relocated |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_result_equal_in_diff_n_threads |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_warning_elkan_1_cluster |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_k_means_1_iteration |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_k_means_1_iteration.py_kmeans |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_euclidean_distance |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_inertia |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_n_init_auto |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_sample_weight_unchanged |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_wrong_params |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_plusplus_wrong_params |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_plusplus_output |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_plusplus_norms |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_plusplus_dataorder |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_is_same_clustering |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_kmeans_with_array_like_or_np_scalar_init |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_predict_does_not_change_cluster_centers |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_sample_weight_init |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_sample_weight_zero |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
test_relocating_with_duplicates |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_k_means.py |
(no function) |
155 |
0 |
0 |
10 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_convergence_of_1d_constant_data |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_estimate_bandwidth |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_estimate_bandwidth_1sample |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_mean_shift |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_parallel |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_meanshift_predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_meanshift_all_orphans |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_unfitted |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_cluster_intensity_tie |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_bin_seeds |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_max_iter |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
test_mean_shift_zero_bandwidth |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_mean_shift.py |
(no function) |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_extend_downward |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_extend_upward |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_the_extract_xi_labels |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_extract_xi |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_cluster_hierarchy_ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_correct_number_of_clusters |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_minimum_number_of_sample_check |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_bad_extract |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_bad_reachability |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_nowarn_if_metric_bool_data_bool |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_warn_if_metric_bool_data_no_bool |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_nowarn_if_metric_no_bool |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_close_extract |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_dbscan_optics_parity |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_min_samples_edge_case |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_min_cluster_size |
8 |
0 |
0 |
2 |
1 |
90% |
| sklearn/cluster/tests/test_optics.py |
test_min_cluster_size_invalid2 |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_processing_order |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_compare_to_ELKI |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_extract_dbscan |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_precomputed_dists |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_optics_input_not_modified_precomputed_sparse_nodiag |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
test_optics_predecessor_correction_ordering |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_optics.py |
(no function) |
56 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_spectral_clustering |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_spectral_clustering_sparse |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_precomputed_nearest_neighbors_filtering |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_affinities |
22 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_affinities.histogram |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_cluster_qr |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_cluster_qr_permutation_invariance |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_discretize |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_spectral_clustering_with_arpack_amg_solvers |
17 |
2 |
0 |
4 |
1 |
76% |
| sklearn/cluster/tests/test_spectral.py |
test_n_components |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_verbose |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_spectral_clustering_np_matrix_raises |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_spectral_clustering_not_infinite_loop |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
test_spectral_clustering_not_infinite_loop.new_svd |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cluster/tests/test_spectral.py |
(no function) |
46 |
2 |
0 |
0 |
0 |
96% |
| sklearn/compose/__init__.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._transformers |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._transformers |
4 |
2 |
0 |
2 |
0 |
67% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.set_output |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._iter |
19 |
0 |
0 |
16 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._validate_transformers |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._validate_column_callables |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._validate_remainder |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._get_remainder_cols_dtype |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._get_remainder_cols |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.named_transformers_ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._get_feature_name_out_for_transformer |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.get_feature_names_out |
11 |
1 |
0 |
6 |
1 |
88% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._add_prefix_for_feature_names_out |
12 |
0 |
0 |
14 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._update_fitted_transformers |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._validate_output |
20 |
2 |
0 |
18 |
0 |
95% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._record_output_indices |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._log_message |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._call_func_on_transformers |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.fit_transform |
26 |
0 |
0 |
11 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.transform |
23 |
0 |
0 |
12 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._hstack |
38 |
0 |
0 |
32 |
1 |
99% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._sk_visual_block_ |
10 |
1 |
0 |
7 |
1 |
88% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.__getitem__ |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer._get_empty_routing |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
ColumnTransformer.get_metadata_routing |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_check_X |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_is_empty_column_selection |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_get_transformer_list |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
make_column_transformer |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
make_column_selector.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
make_column_selector.__call__ |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_RemainderColsList.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_RemainderColsList.__getitem__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_RemainderColsList._show_remainder_cols_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_RemainderColsList._repr_pretty_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
_with_dtype_warning_enabled_set_to |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/_column_transformer.py |
(no function) |
70 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor._fit_transformer |
15 |
0 |
0 |
10 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor.fit |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor.predict |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor._more_tags |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor.n_features_in_ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/_target.py |
TransformedTargetRegressor._get_regressor |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/_target.py |
(no function) |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
Trans.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
Trans.transform |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
DoubleTrans.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
DoubleTrans.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
SparseMatrixTrans.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
SparseMatrixTrans.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
SparseMatrixTrans.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
TransNo2D.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
TransNo2D.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
TransRaise.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
TransRaise.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_tuple_transformers_parameter |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_dataframe |
62 |
0 |
0 |
10 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_dataframe.TransAssert.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_dataframe.TransAssert.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_dataframe.TransAssert.transform |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_empty_columns |
30 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_output_indices |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_output_indices_df |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_sparse_array |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_list |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_sparse_stacking |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_mixed_cols_sparse |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_sparse_threshold |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_error_msg_1D |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_2D_transformer_output |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_2D_transformer_output_pandas |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_invalid_columns |
20 |
0 |
0 |
12 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_invalid_transformer |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_invalid_transformer.NoTrans.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_invalid_transformer.NoTrans.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/compose/tests/test_column_transformer.py |
test_make_column_transformer |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_make_column_transformer_pandas |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_make_column_transformer_kwargs |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_make_column_transformer_remainder_transformer |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_get_set_params |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_named_estimators |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_cloning |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_get_feature_names |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_special_strings |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_remainder |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_remainder_dtypes_ints |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_remainder_dtypes |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_remainder_list_repr |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_remainder_numpy |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_remainder_pandas |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_remainder_transformer |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_no_remaining_remainder_transformer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_drops_all_remainder_transformer |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_sparse_remainder_transformer |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_drop_all_sparse_remainder_transformer |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_get_set_params_with_remainder |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_no_estimators |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_verbose |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_no_estimators_set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_callable_specifier |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_callable_specifier.func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_callable_specifier_dataframe |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_callable_specifier_dataframe.func |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_negative_column_indexes |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_mask_indexing |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_n_features_in |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_make_column_selector_with_select_dtypes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_with_make_column_selector |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_make_column_selector_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_make_column_selector_pickle |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_feature_names_empty_columns |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_feature_names_out_pandas |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_feature_names_out_non_pandas |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_sk_visual_block_remainder |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_sk_visual_block_remainder_drop |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_sk_visual_block_remainder_fitted_pandas |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_sk_visual_block_remainder_fitted_numpy |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_reordered_column_names_remainder |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_feature_name_validation_missing_columns_drop_passthough |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_feature_names_in_ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
TransWithNames.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
TransWithNames.get_feature_names_out |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_verbose_feature_names_out_true |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_verbose_feature_names_out_false |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_verbose_feature_names_out_false_errors |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_set_output |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transform_set_output_mixed |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transform_set_output_after_fitting |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
PandasOutTransformer.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
PandasOutTransformer.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
PandasOutTransformer.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
PandasOutTransformer.set_output |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_transformers_with_pandas_out_but_not_feature_names_out |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_empty_selection_pandas_output |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_raise_error_if_index_not_aligned |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_remainder_set_output |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_transform_pd_na |
19 |
1 |
0 |
10 |
1 |
93% |
| sklearn/compose/tests/test_column_transformer.py |
test_dataframe_different_dataframe_libraries |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer__getitem__ |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_remainder_passthrough_naming_consistency |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_column_renaming |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_error_with_duplicated_columns |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_column_transformer_auto_memmap |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_routing_passed_metadata_not_supported |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_metadata_routing_for_column_transformer |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_metadata_routing_no_fit_transform |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_metadata_routing_no_fit_transform.NoFitTransform.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_metadata_routing_no_fit_transform.NoFitTransform.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_metadata_routing_error_for_column_transformer |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_get_metadata_routing_works_without_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_remainder_request_always_present |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_column_transformer.py |
test_unused_transformer_request_present |
3 |
0 |
0 |
2 |
1 |
80% |
| sklearn/compose/tests/test_column_transformer.py |
(no function) |
176 |
0 |
0 |
14 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_error |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_invertible |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
_check_standard_scaled |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
_check_shifted_by_one |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_functions |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_functions_multioutput |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_1d_transformer |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_2d_transformer |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_2d_transformer_multioutput |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_3d_target |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_3d_target.flatten_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_3d_target.unflatten_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_multi_to_single |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_multi_to_single.func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_multi_to_single.inverse_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_multi_to_single.func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyCheckerArrayTransformer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyCheckerArrayTransformer.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyCheckerArrayTransformer.inverse_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyCheckerListRegressor.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyCheckerListRegressor.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_ensure_y_array |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyTransformer.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyTransformer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyTransformer.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyTransformer.inverse_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_count_fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyRegressorWithExtraFitParams.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_pass_fit_parameters |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_route_pipeline |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
DummyRegressorWithExtraPredictParams.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
test_transform_target_regressor_pass_extra_predict_parameters |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/compose/tests/test_target.py |
(no function) |
46 |
0 |
0 |
0 |
0 |
100% |
| sklearn/conftest.py |
enable_slep006 |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/conftest.py |
raccoon_face_or_skip |
11 |
11 |
0 |
4 |
0 |
0% |
| sklearn/conftest.py |
global_dtype |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/conftest.py |
_fetch_fixture |
4 |
0 |
0 |
2 |
1 |
83% |
| sklearn/conftest.py |
_fetch_fixture.wrapped |
7 |
7 |
0 |
2 |
0 |
0% |
| sklearn/conftest.py |
pytest_collection_modifyitems |
61 |
27 |
0 |
44 |
9 |
52% |
| sklearn/conftest.py |
set_random_seed |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/conftest.py |
pyplot |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/conftest.py |
pytest_configure |
15 |
6 |
0 |
8 |
3 |
52% |
| sklearn/conftest.py |
hide_available_pandas |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/conftest.py |
hide_available_pandas.mocked_import |
3 |
3 |
0 |
2 |
0 |
0% |
| sklearn/conftest.py |
print_changed_only_false |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/conftest.py |
(no function) |
52 |
1 |
0 |
4 |
2 |
95% |
| sklearn/covariance/__init__.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_elliptic_envelope.py |
EllipticEnvelope.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_elliptic_envelope.py |
EllipticEnvelope.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_elliptic_envelope.py |
EllipticEnvelope.decision_function |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_elliptic_envelope.py |
EllipticEnvelope.score_samples |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_elliptic_envelope.py |
EllipticEnvelope.predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_elliptic_envelope.py |
EllipticEnvelope.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_elliptic_envelope.py |
(no function) |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
log_likelihood |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
empirical_covariance |
11 |
1 |
0 |
8 |
1 |
89% |
| sklearn/covariance/_empirical_covariance.py |
EmpiricalCovariance.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
EmpiricalCovariance._set_covariance |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
EmpiricalCovariance.get_precision |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
EmpiricalCovariance.fit |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
EmpiricalCovariance.score |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
EmpiricalCovariance.error_norm |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
EmpiricalCovariance.mahalanobis |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_empirical_covariance.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
_objective |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
_dual_gap |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
_graphical_lasso |
58 |
1 |
0 |
24 |
1 |
98% |
| sklearn/covariance/_graph_lasso.py |
alpha_max |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
graphical_lasso |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
BaseGraphicalLasso.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
GraphicalLasso.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
GraphicalLasso.fit |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
graphical_lasso_path |
34 |
4 |
0 |
20 |
7 |
80% |
| sklearn/covariance/_graph_lasso.py |
GraphicalLassoCV.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
GraphicalLassoCV.fit |
74 |
4 |
0 |
34 |
3 |
94% |
| sklearn/covariance/_graph_lasso.py |
GraphicalLassoCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_graph_lasso.py |
(no function) |
40 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_robust_covariance.py |
c_step |
3 |
3 |
0 |
0 |
0 |
0% |
| sklearn/covariance/_robust_covariance.py |
_c_step |
49 |
2 |
0 |
18 |
2 |
94% |
| sklearn/covariance/_robust_covariance.py |
select_candidates |
22 |
1 |
0 |
10 |
1 |
94% |
| sklearn/covariance/_robust_covariance.py |
fast_mcd |
78 |
4 |
0 |
16 |
0 |
96% |
| sklearn/covariance/_robust_covariance.py |
MinCovDet.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_robust_covariance.py |
MinCovDet.fit |
20 |
4 |
0 |
4 |
1 |
79% |
| sklearn/covariance/_robust_covariance.py |
MinCovDet.correct_covariance |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_robust_covariance.py |
MinCovDet.reweight_covariance |
14 |
1 |
0 |
2 |
1 |
88% |
| sklearn/covariance/_robust_covariance.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
_ledoit_wolf |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
_oas |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
shrunk_covariance |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
ShrunkCovariance.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
ShrunkCovariance.fit |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
ledoit_wolf_shrinkage |
38 |
2 |
0 |
14 |
2 |
92% |
| sklearn/covariance/_shrunk_covariance.py |
ledoit_wolf |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
LedoitWolf.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
LedoitWolf.fit |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
oas |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
OAS.fit |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/_shrunk_covariance.py |
(no function) |
30 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_covariance |
31 |
0 |
0 |
4 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_shrunk_covariance_func |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_shrunk_covariance |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_ledoit_wolf |
55 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
_naive_ledoit_wolf_shrinkage |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_ledoit_wolf_small |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_ledoit_wolf_large |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_ledoit_wolf_empty_array |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_oas |
56 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
test_EmpiricalCovariance_validates_mahalanobis |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_covariance.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_elliptic_envelope.py |
test_elliptic_envelope |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/covariance/tests/test_elliptic_envelope.py |
test_score_samples |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_elliptic_envelope.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lassos |
29 |
0 |
0 |
8 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_when_alpha_equals_0 |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_n_iter |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_iris |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graph_lasso_2D |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_iris_singular |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_cv |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_cv_alphas_iterable |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_cv_alphas_invalid_array |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_cv_scores |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
test_graphical_lasso_cv_scores_with_routing |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
_assert_graphical_lasso_cv_scores |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/covariance/tests/test_graphical_lasso.py |
(no function) |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
test_mcd |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
test_fast_mcd_on_invalid_input |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
test_mcd_class_on_invalid_input |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
launch_mcd_on_dataset |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
test_mcd_issue1127 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
test_mcd_issue3367 |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
test_mcd_support_covariance_is_zero |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
test_mcd_increasing_det_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/covariance/tests/test_robust_covariance.py |
(no function) |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/__init__.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_pinv2_old |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_get_first_singular_vectors_power_method |
28 |
0 |
0 |
16 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_get_first_singular_vectors_svd |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_center_scale_xy |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_svd_flip_1d |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_deprecate_Y_when_optional |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_deprecate_Y_when_required |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_PLS.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_PLS.fit |
67 |
3 |
0 |
18 |
2 |
92% |
| sklearn/cross_decomposition/_pls.py |
_PLS.transform |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_PLS.inverse_transform |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_PLS.predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_PLS.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
_PLS._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
PLSRegression.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
PLSRegression.fit |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
PLSCanonical.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
CCA.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
PLSSVD.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
PLSSVD.fit |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
PLSSVD.transform |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
PLSSVD.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/_pls.py |
(no function) |
57 |
1 |
0 |
8 |
1 |
97% |
| sklearn/cross_decomposition/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
assert_matrix_orthogonal |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_canonical_basics |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_sanity_check_pls_regression |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_sanity_check_pls_regression_constant_column_Y |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_sanity_check_pls_canonical |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_sanity_check_pls_canonical_random |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_convergence_fail |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_attibutes_shapes |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_univariate_equivalence |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_copy |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
_generate_test_scale_and_stability_datasets |
21 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_scale_and_stability |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_n_components_upper_bounds |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_singular_value_helpers |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_one_component_equivalence |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_svd_flip_1d |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_loadings_converges |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_constant_y |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_coef_shape |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_prediction |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_set_output |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_regression_fit_1d_y |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_regression_scaling_coef |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_fit_warning_on_deprecated_Y_argument |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_transform_warning_on_deprecated_Y_argument |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
test_pls_inverse_transform_warning_on_deprecated_Y_argument |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/cross_decomposition/tests/test_pls.py |
(no function) |
54 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/__init__.py |
__getattr__ |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/__init__.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_arff_parser.py |
_split_sparse_columns |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_arff_parser.py |
_sparse_data_to_array |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_arff_parser.py |
_post_process_frame |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_arff_parser.py |
_liac_arff_parser |
69 |
4 |
0 |
44 |
4 |
93% |
| sklearn/datasets/_arff_parser.py |
_liac_arff_parser._io_to_generator |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_arff_parser.py |
_pandas_arff_parser |
33 |
3 |
0 |
24 |
2 |
91% |
| sklearn/datasets/_arff_parser.py |
_pandas_arff_parser.strip_single_quotes |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_arff_parser.py |
load_arff_from_gzip_file |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_arff_parser.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_base.py |
get_data_home |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_base.py |
clear_data_home |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_base.py |
_convert_data_dataframe |
11 |
1 |
0 |
4 |
1 |
87% |
| sklearn/datasets/_base.py |
load_files |
33 |
0 |
0 |
26 |
1 |
98% |
| sklearn/datasets/_base.py |
load_csv_data |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_base.py |
load_gzip_compressed_csv_data |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_base.py |
load_descr |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_base.py |
load_wine |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_base.py |
load_iris |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_base.py |
load_breast_cancer |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_base.py |
load_digits |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/_base.py |
load_diabetes |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_base.py |
load_linnerud |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/_base.py |
load_sample_images |
14 |
2 |
0 |
6 |
0 |
90% |
| sklearn/datasets/_base.py |
load_sample_image |
9 |
1 |
0 |
6 |
3 |
73% |
| sklearn/datasets/_base.py |
_pkl_filepath |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_base.py |
_sha256 |
9 |
9 |
0 |
4 |
0 |
0% |
| sklearn/datasets/_base.py |
_fetch_remote |
15 |
5 |
0 |
4 |
0 |
63% |
| sklearn/datasets/_base.py |
(no function) |
52 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_california_housing.py |
fetch_california_housing |
32 |
32 |
0 |
12 |
0 |
0% |
| sklearn/datasets/_california_housing.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_covtype.py |
fetch_covtype |
39 |
39 |
0 |
12 |
0 |
0% |
| sklearn/datasets/_covtype.py |
(no function) |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_kddcup99.py |
fetch_kddcup99 |
58 |
0 |
0 |
16 |
0 |
100% |
| sklearn/datasets/_kddcup99.py |
_fetch_brute_kddcup99 |
48 |
6 |
0 |
12 |
3 |
85% |
| sklearn/datasets/_kddcup99.py |
_mkdirp |
5 |
1 |
0 |
2 |
2 |
57% |
| sklearn/datasets/_kddcup99.py |
print_coverage |
6 |
5 |
0 |
4 |
2 |
10% |
| sklearn/datasets/_kddcup99.py |
(no function) |
22 |
0 |
1 |
0 |
0 |
100% |
| sklearn/datasets/_lfw.py |
_check_fetch_lfw |
29 |
15 |
0 |
18 |
3 |
49% |
| sklearn/datasets/_lfw.py |
_load_imgs |
34 |
3 |
0 |
18 |
1 |
92% |
| sklearn/datasets/_lfw.py |
_fetch_lfw_people |
21 |
0 |
0 |
10 |
0 |
100% |
| sklearn/datasets/_lfw.py |
fetch_lfw_people |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_lfw.py |
_fetch_lfw_pairs |
29 |
3 |
0 |
14 |
1 |
91% |
| sklearn/datasets/_lfw.py |
fetch_lfw_pairs |
11 |
1 |
0 |
2 |
1 |
85% |
| sklearn/datasets/_lfw.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_olivetti_faces.py |
fetch_olivetti_faces |
30 |
30 |
0 |
12 |
0 |
0% |
| sklearn/datasets/_olivetti_faces.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_get_local_path |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_retry_with_clean_cache |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_retry_with_clean_cache.decorator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_retry_with_clean_cache.decorator.wrapper |
14 |
1 |
0 |
8 |
2 |
86% |
| sklearn/datasets/_openml.py |
_retry_on_network_error |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_retry_on_network_error.decorator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_retry_on_network_error.decorator.wrapper |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_openml.py |
_open_openml_url |
26 |
0 |
0 |
16 |
0 |
100% |
| sklearn/datasets/_openml.py |
_open_openml_url.is_gzip_encoded |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_get_json_content_from_openml_api |
8 |
1 |
0 |
2 |
1 |
80% |
| sklearn/datasets/_openml.py |
_get_json_content_from_openml_api._load_json |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_openml.py |
_get_data_info_by_name |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_openml.py |
_get_data_description_by_id |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_get_data_features |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_get_data_qualities |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_openml.py |
_get_num_samples |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_openml.py |
_load_arff_response |
21 |
2 |
0 |
11 |
2 |
88% |
| sklearn/datasets/_openml.py |
_load_arff_response._open_url_and_load_gzip_file |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_openml.py |
_download_data_to_bunch |
18 |
0 |
0 |
12 |
0 |
100% |
| sklearn/datasets/_openml.py |
_verify_target_data_type |
15 |
1 |
0 |
14 |
1 |
93% |
| sklearn/datasets/_openml.py |
_valid_data_column_names |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_openml.py |
fetch_openml |
65 |
7 |
0 |
48 |
2 |
90% |
| sklearn/datasets/_openml.py |
(no function) |
47 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_rcv1.py |
fetch_rcv1 |
83 |
83 |
0 |
34 |
0 |
0% |
| sklearn/datasets/_rcv1.py |
_inverse_permutation |
5 |
5 |
0 |
0 |
0 |
0% |
| sklearn/datasets/_rcv1.py |
_find_permutation |
4 |
4 |
0 |
0 |
0 |
0% |
| sklearn/datasets/_rcv1.py |
(no function) |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
_generate_hypercube |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_classification |
62 |
1 |
0 |
34 |
2 |
97% |
| sklearn/datasets/_samples_generator.py |
make_multilabel_classification |
26 |
0 |
0 |
8 |
1 |
97% |
| sklearn/datasets/_samples_generator.py |
make_multilabel_classification.sample_example |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_hastie_10_2 |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_regression |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_circles |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_moons |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_blobs |
41 |
0 |
0 |
26 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_friedman1 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_friedman2 |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_friedman3 |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_low_rank_matrix |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_sparse_coded_signal |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_sparse_uncorrelated |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_spd_matrix |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_sparse_spd_matrix |
22 |
0 |
0 |
12 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_swiss_roll |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_s_curve |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_gaussian_quantiles |
14 |
2 |
0 |
6 |
3 |
75% |
| sklearn/datasets/_samples_generator.py |
_shuffle |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_samples_generator.py |
make_biclusters |
20 |
0 |
0 |
14 |
1 |
97% |
| sklearn/datasets/_samples_generator.py |
make_checkerboard |
23 |
0 |
0 |
18 |
1 |
98% |
| sklearn/datasets/_samples_generator.py |
(no function) |
55 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_species_distributions.py |
_load_coverage |
8 |
8 |
0 |
8 |
0 |
0% |
| sklearn/datasets/_species_distributions.py |
_load_csv |
4 |
4 |
0 |
0 |
0 |
0% |
| sklearn/datasets/_species_distributions.py |
construct_grids |
7 |
7 |
0 |
0 |
0 |
0% |
| sklearn/datasets/_species_distributions.py |
fetch_species_distributions |
33 |
33 |
0 |
18 |
0 |
0% |
| sklearn/datasets/_species_distributions.py |
(no function) |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_svmlight_format_io.py |
load_svmlight_file |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_svmlight_format_io.py |
_gen_open |
14 |
1 |
0 |
10 |
1 |
92% |
| sklearn/datasets/_svmlight_format_io.py |
_open_and_load |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_svmlight_format_io.py |
load_svmlight_files |
22 |
0 |
0 |
21 |
0 |
100% |
| sklearn/datasets/_svmlight_format_io.py |
_dump_svmlight |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_svmlight_format_io.py |
dump_svmlight_file |
35 |
3 |
0 |
30 |
3 |
91% |
| sklearn/datasets/_svmlight_format_io.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_twenty_newsgroups.py |
_download_20newsgroups |
16 |
16 |
0 |
6 |
0 |
0% |
| sklearn/datasets/_twenty_newsgroups.py |
strip_newsgroup_header |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/_twenty_newsgroups.py |
strip_newsgroup_quoting |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/_twenty_newsgroups.py |
strip_newsgroup_footer |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/_twenty_newsgroups.py |
fetch_20newsgroups |
66 |
6 |
0 |
34 |
2 |
92% |
| sklearn/datasets/_twenty_newsgroups.py |
fetch_20newsgroups_vectorized |
40 |
40 |
0 |
16 |
0 |
0% |
| sklearn/datasets/_twenty_newsgroups.py |
(no function) |
33 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/data/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/descr/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/images/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
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(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
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(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
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(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
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(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
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(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_3/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_40589/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_40675/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_40945/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
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| sklearn/datasets/tests/data/openml/id_40966/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
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| sklearn/datasets/tests/data/openml/id_42074/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_42585/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_561/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_61/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/data/openml/id_62/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_20news |
15 |
11 |
0 |
0 |
0 |
27% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_20news_length_consistency |
4 |
2 |
0 |
0 |
0 |
50% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_cache_loading_failure |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_cache_loading_failure.side_effect |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_download_if_cache_not_exists |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_remove_options |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_subsets |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_categories_none |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestFetch20Newsgroups.test_download_not_missing |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
test_20news_vectorized |
20 |
18 |
0 |
0 |
0 |
10% |
| sklearn/datasets/tests/test_20news.py |
test_20news_normalization |
6 |
6 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_20news.py |
test_20news_as_frame |
10 |
10 |
0 |
4 |
0 |
0% |
| sklearn/datasets/tests/test_20news.py |
test_as_frame_no_pandas |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_20news.py |
test_outdated_pickle |
7 |
7 |
0 |
6 |
0 |
0% |
| sklearn/datasets/tests/test_20news.py |
TestStripNewsgroupFooter.test_remove_footer_with_hyphens |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestStripNewsgroupFooter.test_remove_footer_with_blank_line |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestStripNewsgroupFooter.test_no_footer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestStripNewsgroupFooter.test_multiple_consecutive_hyphens |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
TestStripNewsgroupFooter.test_empty_text |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_20news.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_arff_parser.py |
test_post_process_frame |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_arff_parser.py |
test_load_arff_from_gzip_file_error_parser |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_arff_parser.py |
test_pandas_arff_parser_strip_single_quotes |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_arff_parser.py |
test_pandas_arff_parser_strip_double_quotes |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_arff_parser.py |
test_pandas_arff_parser_strip_no_quotes |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_arff_parser.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
_DummyPath.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
_DummyPath.__fspath__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
_remove_dir |
2 |
0 |
0 |
2 |
1 |
75% |
| sklearn/datasets/tests/test_base.py |
data_home |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
load_files_root |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_category_dir_1 |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_category_dir_2 |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_data_home |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_default_empty_load_files |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_default_load_files |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_files_w_categories_desc_and_encoding |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_files_wo_load_content |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_files_allowed_extensions |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_csv_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_csv_data_with_descr |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_gzip_compressed_csv_data |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_gzip_compressed_csv_data_with_descr |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_sample_images |
10 |
2 |
0 |
0 |
0 |
80% |
| sklearn/datasets/tests/test_base.py |
test_load_sample_image |
6 |
2 |
0 |
0 |
0 |
67% |
| sklearn/datasets/tests/test_base.py |
test_load_diabetes_raw |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_loader |
13 |
0 |
0 |
10 |
2 |
91% |
| sklearn/datasets/tests/test_base.py |
test_toy_dataset_frame_dtype |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_loads_dumps_bunch |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_bunch_pickle_generated_with_0_16_and_read_with_0_17 |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_bunch_dir |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_load_boston_error |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
test_fetch_remote_raise_warnings_with_invalid_url |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/tests/test_base.py |
(no function) |
56 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_california_housing.py |
test_fetch |
6 |
6 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_california_housing.py |
test_fetch_asframe |
7 |
7 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_california_housing.py |
test_pandas_dependency_message |
3 |
3 |
0 |
2 |
0 |
0% |
| sklearn/datasets/tests/test_california_housing.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
is_pillow_installed |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/datasets/tests/test_common.py |
check_pandas_dependency_message |
8 |
4 |
0 |
2 |
0 |
40% |
| sklearn/datasets/tests/test_common.py |
check_return_X_y |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
check_as_frame |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
_skip_network_tests |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
_generate_func_supporting_param |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
test_common_check_return_X_y |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
test_common_check_as_frame |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
test_common_check_pandas_dependency |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_common.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_covtype.py |
test_fetch |
14 |
14 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_covtype.py |
test_fetch_asframe |
10 |
10 |
0 |
4 |
0 |
0% |
| sklearn/datasets/tests/test_covtype.py |
test_pandas_dependency_message |
3 |
3 |
0 |
2 |
0 |
0% |
| sklearn/datasets/tests/test_covtype.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
test_fetch_kddcup99_percent10 |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
test_fetch_kddcup99_return_X_y |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
test_fetch_kddcup99_as_frame |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
test_fetch_kddcup99_shuffle |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
test_fetch_kddcup99_download_if_missing |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
test_pandas_dependency_message |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
test_corrupted_file_error_message |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_kddcup99.py |
(no function) |
13 |
0 |
1 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
mock_empty_data_home |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
mock_data_home |
33 |
0 |
0 |
12 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
test_load_empty_lfw_people |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
test_load_fake_lfw_people |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
test_load_fake_lfw_people_too_restrictive |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
test_load_empty_lfw_pairs |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
test_load_fake_lfw_pairs |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
test_fetch_lfw_people_internal_cropping |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_lfw.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_olivetti_faces.py |
test_olivetti_faces |
10 |
10 |
0 |
2 |
0 |
0% |
| sklearn/datasets/tests/test_olivetti_faces.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_MockHTTPResponse.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_MockHTTPResponse.read |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_MockHTTPResponse.close |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_MockHTTPResponse.info |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_MockHTTPResponse.__iter__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_MockHTTPResponse.__enter__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_openml.py |
_MockHTTPResponse.__exit__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions |
16 |
0 |
0 |
2 |
1 |
94% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions._file_name |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions._mock_urlopen_shared |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions._mock_urlopen_data_description |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions._mock_urlopen_data_features |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions._mock_urlopen_download_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions._mock_urlopen_data_list |
16 |
3 |
0 |
8 |
1 |
83% |
| sklearn/datasets/tests/test_openml.py |
_monkey_patch_webbased_functions._mock_urlopen |
11 |
1 |
0 |
8 |
1 |
89% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_as_frame_true |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_as_frame_false |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_consistency_parser |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_consistency_parser.convert_numerical_dtypes |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_consistency_parser.convert_numerical_and_categorical_dtypes |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_equivalence_array_dataframe |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_iris_pandas |
30 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_forcing_targets |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_equivalence_frame_return_X_y |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_equivalence_array_return_X_y |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_difference_parsers |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
datasets_column_names |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
datasets_missing_values |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_types_inference |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_validation_parameter |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_requires_pandas_error |
9 |
5 |
0 |
2 |
0 |
36% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_sparse_arff_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_auto_mode |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_convert_arff_data_dataframe_warning_low_memory_pandas |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_iris_warn_multiple_version |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_no_target |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_missing_values_pandas |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_inactive |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_error |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_raises_illegal_argument |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_warn_ignore_attribute |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_dataset_with_openml_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_dataset_with_openml_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_overwrite_default_params_read_csv |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_open_openml_url_cache |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_open_openml_url_unlinks_local_path |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_open_openml_url_unlinks_local_path._mock_urlopen |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_retry_with_clean_cache |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_retry_with_clean_cache._load_data |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_retry_with_clean_cache_http_error |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_retry_with_clean_cache_http_error._load_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_cache |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_cache._mock_urlopen_raise |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_verify_checksum |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_verify_checksum.swap_file_mock |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_open_openml_url_retry_on_network_error |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_open_openml_url_retry_on_network_error._mock_urlopen_network_error |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_with_ignored_feature |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_strip_quotes |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_leading_whitespace |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
test_fetch_openml_quotechar_escapechar |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_openml.py |
(no function) |
111 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_rcv1.py |
test_fetch_rcv1 |
35 |
35 |
0 |
4 |
0 |
0% |
| sklearn/datasets/tests/test_rcv1.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_classification |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_classification_informative_features |
31 |
0 |
0 |
18 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_classification_weights_type |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_classification_weights_array_or_list_ok |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_multilabel_classification_return_sequences |
7 |
0 |
0 |
10 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_multilabel_classification_return_indicator |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_multilabel_classification_return_indicator_sparse |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_hastie_10_2 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_regression |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_regression_multitarget |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_blobs |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_blobs_n_samples_list |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_blobs_n_samples_list_with_centers |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_blobs_n_samples_centers_none |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_blobs_return_centers |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_blobs_error |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_friedman1 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_friedman2 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_friedman3 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_low_rank_matrix |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_sparse_coded_signal |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_sparse_uncorrelated |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_spd_matrix |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_sparse_spd_matrix |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_sparse_spd_matrix_deprecation_warning |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_swiss_roll |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_s_curve |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_biclusters |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_checkerboard |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_moons |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_moons_unbalanced |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_circles |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
test_make_circles_unbalanced |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_samples_generator.py |
(no function) |
48 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
_svmlight_local_test_file_path |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
_load_svmlight_local_test_file |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_svmlight_file |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_svmlight_file_fd |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_svmlight_pathlib |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_svmlight_file_multilabel |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_svmlight_files |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_svmlight_file_n_features |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_compressed |
19 |
0 |
0 |
12 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_invalid_file |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_invalid_order_file |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_zero_based |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_zero_based_auto |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_with_qid |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_large_qid |
4 |
4 |
0 |
2 |
0 |
0% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_invalid_file2 |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_not_a_filename |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_invalid_filename |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_dump |
33 |
0 |
0 |
14 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_dump_multilabel |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_dump_concise |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_dump_comment |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_dump_invalid |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_dump_query_id |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_with_long_qid |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_zeros |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_with_offsets |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_offset_exhaustive_splits |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_load_with_offsets_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_multilabel_y_explicit_zeros |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
test_dump_read_only |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/datasets/tests/test_svmlight_format.py |
(no function) |
60 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/__init__.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_base.py |
_BasePCA.get_covariance |
10 |
1 |
0 |
2 |
1 |
83% |
| sklearn/decomposition/_base.py |
_BasePCA.get_precision |
21 |
1 |
0 |
8 |
1 |
93% |
| sklearn/decomposition/_base.py |
_BasePCA.fit |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_base.py |
_BasePCA.transform |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_base.py |
_BasePCA._transform |
9 |
0 |
0 |
4 |
1 |
92% |
| sklearn/decomposition/_base.py |
_BasePCA.inverse_transform |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_base.py |
_BasePCA._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_base.py |
(no function) |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
_check_positive_coding |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
_sparse_encode_precomputed |
33 |
1 |
0 |
16 |
2 |
94% |
| sklearn/decomposition/_dict_learning.py |
sparse_encode |
10 |
1 |
0 |
6 |
2 |
81% |
| sklearn/decomposition/_dict_learning.py |
_sparse_encode |
25 |
0 |
0 |
16 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
_update_dict |
21 |
1 |
0 |
12 |
1 |
94% |
| sklearn/decomposition/_dict_learning.py |
_dict_learning |
43 |
4 |
0 |
24 |
4 |
88% |
| sklearn/decomposition/_dict_learning.py |
dict_learning_online |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
dict_learning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
_BaseSparseCoding.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
_BaseSparseCoding._transform |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
_BaseSparseCoding.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
SparseCoder.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
SparseCoder.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
SparseCoder.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
SparseCoder._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
SparseCoder.n_components_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
SparseCoder.n_features_in_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
SparseCoder._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
DictionaryLearning.__init__ |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
DictionaryLearning.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
DictionaryLearning.fit_transform |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
DictionaryLearning._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
DictionaryLearning._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning.__init__ |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning._check_params |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning._initialize_dict |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning._update_inner_stats |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning._minibatch_step |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning._check_convergence |
27 |
0 |
0 |
18 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning.fit |
38 |
1 |
0 |
12 |
1 |
96% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning.partial_fit |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
MiniBatchDictionaryLearning._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_dict_learning.py |
(no function) |
66 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.fit |
47 |
0 |
0 |
14 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.fit.my_svd |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.transform |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.get_covariance |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.get_precision |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.score_samples |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis._rotate |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
FactorAnalysis._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_factor_analysis.py |
_ortho_rotation |
16 |
0 |
0 |
8 |
2 |
92% |
| sklearn/decomposition/_factor_analysis.py |
(no function) |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
_gs_decorrelation |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
_sym_decorrelation |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
_ica_def |
18 |
0 |
0 |
6 |
1 |
96% |
| sklearn/decomposition/_fastica.py |
_ica_par |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
_logcosh |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
_exp |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
_cube |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
fastica |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
FastICA.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
FastICA._fit_transform |
78 |
2 |
0 |
42 |
5 |
94% |
| sklearn/decomposition/_fastica.py |
FastICA.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
FastICA.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
FastICA.transform |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
FastICA.inverse_transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
FastICA._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
FastICA._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_fastica.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_incremental_pca.py |
IncrementalPCA.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_incremental_pca.py |
IncrementalPCA.fit |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/_incremental_pca.py |
IncrementalPCA.partial_fit |
46 |
0 |
0 |
22 |
0 |
100% |
| sklearn/decomposition/_incremental_pca.py |
IncrementalPCA.transform |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_incremental_pca.py |
(no function) |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA.__init__ |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA._get_kernel |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA._fit_transform |
25 |
0 |
0 |
14 |
1 |
97% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA._fit_inverse_transform |
7 |
1 |
0 |
2 |
1 |
78% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA.fit |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA.fit_transform |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA.transform |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA.inverse_transform |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
KernelPCA._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_kernel_pca.py |
(no function) |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
_update_doc_distribution |
37 |
0 |
0 |
14 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation.__init__ |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._init_latent_vars |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._e_step |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._em_step |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._check_non_neg_array |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation.partial_fit |
13 |
1 |
0 |
8 |
1 |
90% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation.fit |
29 |
0 |
0 |
16 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._unnormalized_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation.transform |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._approx_bound |
28 |
0 |
0 |
8 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._approx_bound._loglikelihood |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation.score |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._perplexity_precomp_distr |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation.perplexity |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
LatentDirichletAllocation._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_lda.py |
(no function) |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
norm |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
trace_dot |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_check_init |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_beta_divergence |
46 |
0 |
0 |
20 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_special_sparse_dot |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_beta_loss_to_float |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_initialize_nmf |
53 |
1 |
0 |
18 |
1 |
97% |
| sklearn/decomposition/_nmf.py |
_update_coordinate_descent |
12 |
1 |
0 |
6 |
1 |
89% |
| sklearn/decomposition/_nmf.py |
_fit_coordinate_descent |
19 |
3 |
0 |
14 |
3 |
82% |
| sklearn/decomposition/_nmf.py |
_multiplicative_update_w |
55 |
0 |
0 |
34 |
1 |
99% |
| sklearn/decomposition/_nmf.py |
_multiplicative_update_h |
60 |
0 |
0 |
32 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_fit_multiplicative_update |
31 |
4 |
0 |
20 |
2 |
88% |
| sklearn/decomposition/_nmf.py |
non_negative_factorization |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF._check_params |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF._check_w_h |
26 |
0 |
0 |
20 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF._compute_regularization |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF.inverse_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
_BaseNMF._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
NMF.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
NMF._check_params |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
NMF.fit_transform |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
NMF._fit_transform |
14 |
1 |
0 |
8 |
1 |
91% |
| sklearn/decomposition/_nmf.py |
NMF.transform |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF._check_params |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF._solve_W |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF._minibatch_step |
13 |
0 |
0 |
8 |
1 |
95% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF._minibatch_convergence |
27 |
1 |
0 |
18 |
1 |
96% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF.fit_transform |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF._fit_transform |
28 |
0 |
0 |
10 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF.transform |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
MiniBatchNMF.partial_fit |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_nmf.py |
(no function) |
66 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_pca.py |
_assess_dimension |
24 |
0 |
0 |
10 |
0 |
100% |
| sklearn/decomposition/_pca.py |
_infer_dimension |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_pca.py |
PCA.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_pca.py |
PCA.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_pca.py |
PCA.fit_transform |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/_pca.py |
PCA._fit |
26 |
1 |
0 |
22 |
2 |
94% |
| sklearn/decomposition/_pca.py |
PCA._fit_full |
54 |
2 |
0 |
18 |
2 |
94% |
| sklearn/decomposition/_pca.py |
PCA._fit_truncated |
42 |
0 |
0 |
16 |
1 |
98% |
| sklearn/decomposition/_pca.py |
PCA.score_samples |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_pca.py |
PCA.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_pca.py |
PCA._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_pca.py |
(no function) |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
_BaseSparsePCA.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
_BaseSparsePCA.fit |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
_BaseSparsePCA.transform |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
_BaseSparsePCA.inverse_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
_BaseSparsePCA._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
_BaseSparsePCA._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
SparsePCA.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
SparsePCA._fit |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
MiniBatchSparsePCA.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
MiniBatchSparsePCA._fit |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_sparse_pca.py |
(no function) |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_truncated_svd.py |
TruncatedSVD.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_truncated_svd.py |
TruncatedSVD.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_truncated_svd.py |
TruncatedSVD.fit_transform |
24 |
0 |
0 |
10 |
1 |
97% |
| sklearn/decomposition/_truncated_svd.py |
TruncatedSVD.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_truncated_svd.py |
TruncatedSVD.inverse_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_truncated_svd.py |
TruncatedSVD._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_truncated_svd.py |
TruncatedSVD._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/_truncated_svd.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_shapes_omp |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_shapes |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_overcomplete |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_max_iter |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_max_iter.ricker_function |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_max_iter.ricker_matrix |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_lars_positive_parameter |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_positivity |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_lars_dict_positivity |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_lars_code_positivity |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_reconstruction |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_reconstruction_parallel |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_lassocd_readonly_data |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_nonzero_coefs |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_split |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_shapes |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_lars_positive_parameter |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_minibatch_dictionary_learning_positivity |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_minibatch_dictionary_learning_lars |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_positivity |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_verbosity |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_estimator_shapes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_overcomplete |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_initialization |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_readonly_initialization |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_partial_fit |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_shapes |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_positivity |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_unavailable_positivity |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_input |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_error |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_error_default_sparsity |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_coder_estimator |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_coder_estimator_clone |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_coder_parallel_mmap |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_coder_common_transformer |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_coder_n_features_in |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_update_dict |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_dtype_match |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_encode_numerical_consistency |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_sparse_coder_dtype_match |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dictionary_learning_dtype_match |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_minibatch_dictionary_learning_dtype_match |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_dtype_match |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_numerical_consistency |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_dtype_match |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_dict_learning_online_numerical_consistency |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_get_feature_names_out |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_cd_work_on_joblib_memmapped_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
test_xxx |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_dict_learning.py |
(no function) |
96 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_factor_analysis.py |
test_factor_analysis |
51 |
0 |
0 |
14 |
0 |
100% |
| sklearn/decomposition/tests/test_factor_analysis.py |
test_factor_analysis.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_factor_analysis.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
center_and_norm |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_gs |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_attributes_dtypes |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_return_dtypes |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_simple |
58 |
1 |
0 |
20 |
1 |
97% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_simple.g_test |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_nowhiten |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_convergence_fail |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_non_square_fastica |
25 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fit_transform |
23 |
1 |
0 |
8 |
1 |
94% |
| sklearn/decomposition/tests/test_fastica.py |
test_inverse_transform |
15 |
1 |
0 |
6 |
1 |
90% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_errors |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_whiten_unit_variance |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_output_shape |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_simple_different_solvers |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
test_fastica_eigh_low_rank_warning |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_fastica.py |
(no function) |
33 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_sparse |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_check_projection |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_inverse |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_validation |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_n_samples_equal_n_components |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_n_components_none |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_set_params |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_num_features_change |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_batch_signs |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_batch_values |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_batch_rank |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_partial_fit |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_against_pca_iris |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_against_pca_random_data |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_explained_variances |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_singular_values |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_whitening |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_partial_fit_float_division |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_fit_overflow_error |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
test_incremental_pca_feature_names_out |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_incremental_pca.py |
(no function) |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca.histogram |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_invalid_parameters |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_consistent_transform |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_deterministic_output |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_sparse |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_linear_kernel |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_n_components |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_remove_zero_eig |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_leave_zero_eig |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_precomputed |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_precomputed_non_symmetric |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_gridsearch_pipeline |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_gridsearch_pipeline_precomputed |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_nested_circles |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_conditioning |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_precomputed_kernel_not_psd |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_solvers_equivalence |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_inverse_transform_reconstruction |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_raise_not_fitted_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_32_64_decomposition_shape |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_feature_names_out |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_inverse_correct_gamma |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
test_kernel_pca_pandas_output |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_kernel_pca.py |
(no function) |
44 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_convergence_warning |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_initialize_nn_output |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_parameter_checking |
20 |
0 |
0 |
16 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_initialize_close |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_initialize_variants |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_fit_nn_output |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_fit_close |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_true_reconstruction |
26 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_minibatch_nmf_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_transform_custom_init |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_inverse_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_mbnmf_inverse_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_n_components_greater_n_features |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_sparse_input |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_sparse_transform |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_non_negative_factorization_consistency |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_non_negative_factorization_checking |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
_beta_divergence_dense |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_beta_divergence |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_special_sparse_dot |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_multiplicative_update_sparse |
23 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_negative_beta_loss |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_negative_beta_loss._assert_nmf_no_nan |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_minibatch_nmf_negative_beta_loss |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_regularization |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_decreasing |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_underflow |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_dtype_match |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_float32_float64_consistency |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_custom_init_dtype_error |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_minibatchnmf_equivalence |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_minibatch_nmf_partial_fit |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_feature_names_out |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_minibatch_nmf_verbose |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_NMF_inverse_transform_Xt_deprecation |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_n_components_auto |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_non_negative_factorization_n_components_auto |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_n_components_default_value_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_n_components_auto_no_h_update |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_w_h_not_used_warning |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
test_nmf_custom_init_shape_error |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_nmf.py |
(no function) |
100 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
_build_sparse_array |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_default_prior_params |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_fit_batch |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_fit_online |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_partial_fit |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_dense_input |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_transform |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_fit_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_negative_input |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_no_component_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_multi_jobs |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_partial_fit_multi_jobs |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_preplexity_mismatch |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_perplexity |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_score |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_perplexity_input_format |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_score_perplexity |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_fit_perplexity |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_empty_docs |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_dirichlet_expectation |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
check_verbosity |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_verbosity |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_feature_names_out |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_dtype_match |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
test_lda_numerical_consistency |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_online_lda.py |
(no function) |
61 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
_check_fitted_pca_close |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_sparse |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_sparse_fit_transform |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_sparse_pca_solver_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_sparse_pca_auto_arpack_singluar_values_consistency |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_no_empty_slice_warning |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_whitening |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_solver_equivalence |
63 |
2 |
0 |
14 |
1 |
96% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_explained_variance_empirical |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_singular_values_consistency |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_singular_values |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_check_projection |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_check_projection_list |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_inverse |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_validation |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_n_components_none |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_n_components_mle |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_n_components_mle_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_dim |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_infer_dim_1 |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_infer_dim_2 |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_infer_dim_3 |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_infer_dim_by_explained_variance |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_score |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_score3 |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_sanity_noise_variance |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_score_consistency_solvers |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_zero_noise_variance_edge_cases |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_svd_solver_auto |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_deterministic_output |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_dtype_preservation |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
check_pca_float_dtype_preservation |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
check_pca_int_dtype_upcast_to_double |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_n_components_mostly_explained_variance_ratio |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_assess_dimension_bad_rank |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_small_eigenvalues_mle |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_mle_redundant_data |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_fit_mle_too_few_samples |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_mle_simple_case |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_assess_dimesion_rank_one |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_randomized_svd_n_oversamples |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_feature_names_out |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_variance_correctness |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
check_array_api_get_precision |
17 |
16 |
0 |
2 |
0 |
5% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_array_api_compliance |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_pca.py |
test_pca_mle_array_api_compliance |
32 |
30 |
0 |
4 |
0 |
6% |
| sklearn/decomposition/tests/test_pca.py |
test_array_api_error_and_warnings_on_unsupported_params |
18 |
17 |
0 |
12 |
0 |
3% |
| sklearn/decomposition/tests/test_pca.py |
(no function) |
114 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
generate_toy_data |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_correct_shapes |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_fit_transform |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_fit_transform_parallel |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_transform_nan |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_fit_transform_tall |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_initialization |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_mini_batch_correct_shapes |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_mini_batch_fit_transform |
19 |
19 |
0 |
2 |
0 |
0% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_scaling_fit_transform |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_pca_vs_spca |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_spca_n_components_ |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_sparse_pca_dtype_match |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_sparse_pca_numerical_consistency |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_spca_feature_names_out |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_spca_max_iter_None_deprecation |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_spca_early_stopping |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_equivalence_components_pca_spca |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_sparse_pca_inverse_transform |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
test_transform_inverse_transform_round_trip |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_sparse_pca.py |
(no function) |
39 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
X_sparse |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_solvers |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_attributes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_too_many_components |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_sparse_formats |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_inverse_transform |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_integers |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_explained_variance |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_explained_variance_components_10_20 |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_singular_values_consistency |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_singular_values_expected |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_truncated_svd_eq_pca |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
test_fit_transform |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/decomposition/tests/test_truncated_svd.py |
(no function) |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
_cov |
19 |
0 |
0 |
14 |
2 |
94% |
| sklearn/discriminant_analysis.py |
_class_means |
10 |
2 |
0 |
4 |
1 |
64% |
| sklearn/discriminant_analysis.py |
_class_cov |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis._solve_lstsq |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis._solve_eigen |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis._solve_svd |
34 |
1 |
0 |
8 |
1 |
95% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis.fit |
39 |
0 |
0 |
24 |
1 |
98% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis.transform |
10 |
0 |
0 |
6 |
1 |
94% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis.predict_proba |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis.predict_log_proba |
8 |
1 |
0 |
2 |
1 |
80% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
LinearDiscriminantAnalysis._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
QuadraticDiscriminantAnalysis.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
QuadraticDiscriminantAnalysis.fit |
40 |
0 |
0 |
16 |
0 |
100% |
| sklearn/discriminant_analysis.py |
QuadraticDiscriminantAnalysis._decision_function |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/discriminant_analysis.py |
QuadraticDiscriminantAnalysis.decision_function |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/discriminant_analysis.py |
QuadraticDiscriminantAnalysis.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
QuadraticDiscriminantAnalysis.predict_proba |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
QuadraticDiscriminantAnalysis.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/discriminant_analysis.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/dummy.py |
DummyClassifier.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/dummy.py |
DummyClassifier.fit |
32 |
0 |
0 |
23 |
0 |
100% |
| sklearn/dummy.py |
DummyClassifier.predict |
39 |
1 |
0 |
36 |
3 |
95% |
| sklearn/dummy.py |
DummyClassifier.predict_proba |
34 |
0 |
0 |
16 |
1 |
98% |
| sklearn/dummy.py |
DummyClassifier.predict_log_proba |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/dummy.py |
DummyClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/dummy.py |
DummyClassifier.score |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/dummy.py |
DummyRegressor.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/dummy.py |
DummyRegressor.fit |
31 |
1 |
0 |
28 |
2 |
95% |
| sklearn/dummy.py |
DummyRegressor.predict |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/dummy.py |
DummyRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/dummy.py |
DummyRegressor.score |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/dummy.py |
(no function) |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/__init__.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_generate_indices |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_generate_bagging_indices |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_parallel_build_estimators |
45 |
1 |
0 |
16 |
1 |
97% |
| sklearn/ensemble/_bagging.py |
_parallel_predict_proba |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_parallel_predict_log_proba |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_parallel_decision_function |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_parallel_predict_regression |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
_estimator_has.check |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging.fit |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging._parallel_args |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging._fit |
55 |
4 |
0 |
40 |
5 |
91% |
| sklearn/ensemble/_bagging.py |
BaseBagging._set_oob_score |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging._validate_y |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging._get_estimators_indices |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging.estimators_samples_ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging.get_metadata_routing |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging._get_estimator |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaseBagging._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier._get_estimator |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier._set_oob_score |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier._validate_y |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier.predict_proba |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier.predict_log_proba |
11 |
1 |
0 |
6 |
1 |
88% |
| sklearn/ensemble/_bagging.py |
BaggingClassifier.decision_function |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingRegressor.predict |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingRegressor._set_oob_score |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
BaggingRegressor._get_estimator |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_bagging.py |
(no function) |
65 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
_fit_single_estimator |
11 |
1 |
0 |
8 |
1 |
89% |
| sklearn/ensemble/_base.py |
_set_random_states |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_base.py |
BaseEnsemble.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
BaseEnsemble._validate_estimator |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_base.py |
BaseEnsemble._make_estimator |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_base.py |
BaseEnsemble.__len__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
BaseEnsemble.__getitem__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
BaseEnsemble.__iter__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
_partition_estimators |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
_BaseHeterogeneousEnsemble.named_estimators |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
_BaseHeterogeneousEnsemble.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
_BaseHeterogeneousEnsemble._validate_estimators |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_base.py |
_BaseHeterogeneousEnsemble.set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
_BaseHeterogeneousEnsemble.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_base.py |
_BaseHeterogeneousEnsemble._more_tags |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_base.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
_get_n_samples_bootstrap |
9 |
0 |
0 |
8 |
1 |
94% |
| sklearn/ensemble/_forest.py |
_generate_sample_indices |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
_generate_unsampled_indices |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
_parallel_build_trees |
19 |
4 |
0 |
12 |
2 |
74% |
| sklearn/ensemble/_forest.py |
BaseForest.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest.apply |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest.decision_path |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest.fit |
60 |
0 |
0 |
48 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest._set_oob_score_and_attributes |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest._compute_oob_predictions |
21 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest._validate_y_class_weight |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest._validate_X_predict |
8 |
1 |
0 |
4 |
1 |
83% |
| sklearn/ensemble/_forest.py |
BaseForest.feature_importances_ |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest._get_estimators_indices |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest.estimators_samples_ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_forest.py |
BaseForest._more_tags |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
_accumulate_prediction |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestClassifier._get_oob_predictions |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestClassifier._set_oob_score_and_attributes |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestClassifier._validate_y_class_weight |
26 |
1 |
0 |
16 |
1 |
95% |
| sklearn/ensemble/_forest.py |
ForestClassifier.predict |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestClassifier.predict_proba |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestClassifier.predict_log_proba |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestRegressor.predict |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestRegressor._get_oob_predictions |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestRegressor._set_oob_score_and_attributes |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestRegressor._compute_partial_dependence_recursion |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ForestRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomForestClassifier.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomForestRegressor.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ExtraTreesClassifier.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
ExtraTreesRegressor.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomTreesEmbedding.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomTreesEmbedding._set_oob_score_and_attributes |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomTreesEmbedding.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomTreesEmbedding.fit_transform |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomTreesEmbedding.get_feature_names_out |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_forest.py |
RandomTreesEmbedding.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_forest.py |
(no function) |
95 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_gb.py |
_safe_divide |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_gb.py |
_init_raw_predictions |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_gb.py |
_update_terminal_regions |
32 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_gb.py |
_update_terminal_regions.compute_update |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
set_huber_delta |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
VerboseReporter.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
VerboseReporter.init |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_gb.py |
VerboseReporter.update |
11 |
1 |
0 |
6 |
1 |
88% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting.__init__ |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._encode_y |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._get_loss |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._fit_stage |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._set_max_features |
14 |
3 |
0 |
12 |
1 |
77% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._init_state |
15 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._clear_state |
14 |
0 |
0 |
14 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._resize_state |
13 |
1 |
0 |
6 |
1 |
89% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._is_fitted |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._check_initialized |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting.fit |
56 |
1 |
0 |
28 |
1 |
98% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._fit_stages |
43 |
0 |
0 |
24 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._make_estimator |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._raw_predict_init |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._raw_predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._staged_raw_predict |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting.feature_importances_ |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting._compute_partial_dependence_recursion |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_gb.py |
BaseGradientBoosting.apply |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier._encode_y |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier._get_loss |
8 |
0 |
0 |
8 |
1 |
94% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.decision_function |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.staged_decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.predict |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.staged_predict |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingClassifier.staged_predict_proba |
7 |
2 |
0 |
4 |
1 |
73% |
| sklearn/ensemble/_gb.py |
GradientBoostingRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingRegressor._encode_y |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingRegressor._get_loss |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingRegressor.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingRegressor.staged_predict |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_gb.py |
GradientBoostingRegressor.apply |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_gb.py |
(no function) |
80 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/binning.py |
_find_binning_thresholds |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/binning.py |
_BinMapper.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/binning.py |
_BinMapper.fit |
34 |
0 |
0 |
18 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/binning.py |
_BinMapper.transform |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/binning.py |
_BinMapper.make_known_categories_bitsets |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/binning.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
_update_leaves_values |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
_patch_raw_predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
_patch_raw_predict._patched_raw_predicts |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting.__init__ |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._validate_parameters |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._finalize_sample_weight |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._preprocess_X |
26 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._check_categories |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._check_categorical_features |
55 |
0 |
0 |
40 |
1 |
99% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._check_interaction_cst |
19 |
0 |
0 |
18 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting.fit |
146 |
0 |
0 |
68 |
1 |
99% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._is_fitted |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._clear_state |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._get_small_trainset |
13 |
1 |
0 |
4 |
1 |
88% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._check_early_stopping_scorer |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._score_with_raw_predictions |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._check_early_stopping_loss |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._should_stop |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._bin_data |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._print_iteration_stats |
22 |
0 |
0 |
14 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._raw_predict |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._predict_iterations |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._staged_raw_predict |
11 |
1 |
0 |
4 |
1 |
87% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._compute_partial_dependence_recursion |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._get_loss |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting._encode_y |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
BaseHistGradientBoosting.n_iter_ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingRegressor.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingRegressor.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingRegressor.staged_predict |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingRegressor._encode_y |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingRegressor._get_loss |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier._finalize_sample_weight |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier.predict |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier.staged_predict |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier.staged_predict_proba |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier.decision_function |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier.staged_decision_function |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier._encode_y |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
HistGradientBoostingClassifier._get_loss |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py |
(no function) |
81 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeNode.__init__ |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeNode.set_children_bounds |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeNode.__lt__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower.__init__ |
46 |
0 |
0 |
12 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower._validate_parameters |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower.grow |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower._apply_shrinkage |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower._initialize_root |
23 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower._compute_best_split_and_push |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower.split_next |
70 |
0 |
0 |
30 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower._compute_interactions |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower._finalize_leaf |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower._finalize_splittable_nodes |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
TreeGrower.make_predictor |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
_fill_predictor_arrays |
30 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/grower.py |
(no function) |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
TreePredictor.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
TreePredictor.get_n_leaf_nodes |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
TreePredictor.get_max_depth |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
TreePredictor.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
TreePredictor.predict_binned |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
TreePredictor.compute_partial_dependence |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
TreePredictor.__setstate__ |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/predictor.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_find_binning_thresholds_regular_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_find_binning_thresholds_small_regular_data |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_find_binning_thresholds_random_data |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_find_binning_thresholds_low_n_bins |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_invalid_n_bins |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_bin_mapper_n_features_transform |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_map_to_bins |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_bin_mapper_random_data |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_bin_mapper_small_random_data |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_bin_mapper_identity_repeated_values |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_bin_mapper_repeated_values_invariance |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_bin_mapper_identity_small |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_bin_mapper_idempotence |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_n_bins_non_missing |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_subsample |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_missing_values_support |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_infinite_values |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_categorical_feature |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_categorical_feature_negative_missing |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_categorical_with_numerical_features |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_make_known_categories_bitsets |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
test_categorical_parameters |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py |
(no function) |
44 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_bitset.py |
test_set_get_bitset |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_bitset.py |
test_raw_bitset_from_binned_bitset |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_bitset.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py |
test_same_predictions_regression |
25 |
24 |
0 |
8 |
0 |
3% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py |
test_same_predictions_classification |
27 |
26 |
0 |
4 |
0 |
3% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py |
test_same_predictions_multiclass_classification |
34 |
33 |
0 |
4 |
0 |
3% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py |
(no function) |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
_make_dumb_dataset |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_init_parameters_validation |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_early_stopping_regression |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_early_stopping_classification |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_early_stopping_default |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_should_stop |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_absolute_error |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_absolute_error_sample_weight |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_gamma_y_positive |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_gamma |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_quantile_asymmetric_error |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_poisson_y_positive |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_poisson |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_binning_train_validation_are_separated |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_missing_values_trivial |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_missing_values_resilience |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_zero_division_hessians |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_small_trainset |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_missing_values_minmax_imputation |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_missing_values_minmax_imputation.MinMaxImputer.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_missing_values_minmax_imputation.MinMaxImputer.transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_missing_values_minmax_imputation.make_missing_value_data |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_infinite_values |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_consistent_lengths |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_infinite_values_missing_values |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_string_target_early_stopping |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_zero_sample_weights_regression |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_zero_sample_weights_classification |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_sample_weight_effect |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_sum_hessians_are_sample_weight |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_max_depth_max_leaf_nodes |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_early_stopping_on_test_set_with_warm_start |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_early_stopping_with_sample_weights |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_early_stopping_with_sample_weights.mock_check_scoring |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_raw_predict_is_called_with_custom_scorer |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_single_node_trees |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_custom_loss |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_staged_predict |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_unknown_categories_nan |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_categorical_encoding_strategies |
32 |
2 |
0 |
2 |
0 |
94% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_categorical_spec_errors |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_categorical_spec_errors_with_feature_names |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_categorical_spec_no_categories |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_categorical_bad_encoding_errors |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_uint8_predict |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_check_interaction_cst |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_interaction_cst_numerically |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_no_user_warning_with_scoring |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_class_weights |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_unknown_category_that_are_negative |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_dataframe_categorical_results_same_as_ndarray |
26 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_dataframe_categorical_errors |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_categorical_different_order_same_model |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_categorical_features_warn |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
get_different_bitness_node_ndarray |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
reduce_predictor_with_different_bitness |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_different_bitness_pickle |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_different_bitness_pickle.pickle_dump_with_different_bitness |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_different_bitness_joblib_pickle |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_different_bitness_joblib_pickle.joblib_dump_with_different_bitness |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
test_pandas_nullable_dtype |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py |
(no function) |
129 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
_make_training_data |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
_make_training_data.true_decision_function |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
_check_children_consistency |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_grow_tree |
37 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_predictor_from_grower |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_min_samples_leaf |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_min_samples_leaf_root |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
assert_is_stump |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_max_depth |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_input_validation |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_init_parameters_validation |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_missing_value_predict_only |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_split_on_nan_with_infinite_values |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_grow_tree_categories |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_ohe_equivalence |
25 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_grower_interaction_constraints |
30 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
test_grower_interaction_constraints.get_all_children |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py |
test_build_histogram |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py |
test_histogram_sample_order_independence |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py |
test_unrolled_equivalent_to_naive |
31 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py |
test_hist_subtraction |
35 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
is_increasing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
is_decreasing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
assert_leaves_values_monotonic |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
assert_leaves_values_monotonic.get_leaves_values |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
assert_leaves_values_monotonic.get_leaves_values.depth_first_collect_leaf_values |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
assert_children_values_monotonic |
17 |
0 |
0 |
12 |
1 |
97% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
assert_children_values_bounded |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
assert_children_values_bounded.recursively_check_children_node_values |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
test_nodes_values |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
test_predictions |
39 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
test_input_error |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
test_input_error_related_to_feature_names |
23 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
test_bounded_value_min_gain_to_split |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py |
(no function) |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py |
test_regression_dataset |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py |
test_infinite_values_and_thresholds |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py |
test_categorical_predictor |
31 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_histogram_split |
34 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_gradient_and_hessian_sanity |
56 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_split_indices |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_min_gain_to_split |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_splitting_missing_values |
37 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_splitting_categorical_cat_smooth |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
_assert_categories_equals_bitset |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_splitting_categorical_sanity |
32 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_split_interaction_constraints |
35 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
test_split_feature_fraction_per_split |
38 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
_assert_predictor_equal |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_max_iter_with_warm_start_validation |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_warm_start_yields_identical_results |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_warm_start_max_depth |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_warm_start_early_stopping |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_warm_start_equal_n_estimators |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_warm_start_clear |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_random_seeds_warm_start |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
test_random_seeds_warm_start._get_rng |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_hist_gradient_boosting/utils.py |
get_equivalent_estimator |
31 |
31 |
0 |
20 |
0 |
0% |
| sklearn/ensemble/_hist_gradient_boosting/utils.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest._get_estimator |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest._set_oob_score |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/_iforest.py |
IsolationForest._parallel_args |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest.fit |
25 |
0 |
0 |
14 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest.predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest.score_samples |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest._score_samples |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest._compute_chunked_score_samples |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest._compute_score_samples |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
IsolationForest._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
_average_path_length |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_iforest.py |
(no function) |
30 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_estimator_has.check |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking._clone_final_estimator |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking._concatenate_predictions |
16 |
0 |
0 |
16 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking._method_name |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking.fit |
38 |
0 |
0 |
32 |
1 |
99% |
| sklearn/ensemble/_stacking.py |
_BaseStacking.n_features_in_ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking._transform |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking.get_feature_names_out |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking._sk_visual_block_with_final_estimator |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
_BaseStacking.get_metadata_routing |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingClassifier._validate_final_estimator |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/ensemble/_stacking.py |
StackingClassifier._validate_estimators |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingClassifier.fit |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingClassifier.predict |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingClassifier.predict_proba |
5 |
1 |
0 |
4 |
1 |
56% |
| sklearn/ensemble/_stacking.py |
StackingClassifier.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingClassifier.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingClassifier._sk_visual_block_ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingRegressor._validate_final_estimator |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/ensemble/_stacking.py |
StackingRegressor.fit |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingRegressor.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingRegressor.fit_transform |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingRegressor.predict |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
StackingRegressor._sk_visual_block_ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_stacking.py |
(no function) |
64 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting._log_message |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting._weights_not_none |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting._predict |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting.fit |
19 |
0 |
0 |
14 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting.n_features_in_ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting._sk_visual_block_ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
_BaseVoting.get_metadata_routing |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier.fit |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier.predict |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier._collect_probas |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier._check_voting |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier.predict_proba |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier.transform |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingClassifier.get_feature_names_out |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingRegressor.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingRegressor.fit |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingRegressor.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingRegressor.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_voting.py |
VotingRegressor.get_feature_names_out |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_voting.py |
(no function) |
49 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
BaseWeightBoosting.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
BaseWeightBoosting._check_X |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
BaseWeightBoosting.fit |
30 |
1 |
0 |
12 |
1 |
95% |
| sklearn/ensemble/_weight_boosting.py |
BaseWeightBoosting._boost |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/_weight_boosting.py |
BaseWeightBoosting.staged_score |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
BaseWeightBoosting.feature_importances_ |
7 |
3 |
0 |
4 |
1 |
64% |
| sklearn/ensemble/_weight_boosting.py |
_samme_proba |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier._validate_estimator |
7 |
1 |
0 |
6 |
1 |
85% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier._boost |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier._boost_real |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier._boost_discrete |
20 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.staged_predict |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.decision_function |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.staged_decision_function |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier._compute_proba_from_decision |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.predict_proba |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.staged_predict_proba |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostClassifier.predict_log_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostRegressor.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostRegressor._validate_estimator |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostRegressor._boost |
29 |
0 |
0 |
14 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostRegressor._get_median_predict |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostRegressor.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
AdaBoostRegressor.staged_predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/_weight_boosting.py |
(no function) |
52 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_classification |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_sparse_classification |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_sparse_classification.CustomSVC.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_regression |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_sparse_regression |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_sparse_regression.CustomSVR.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
DummySizeEstimator.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
DummySizeEstimator.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/tests/test_bagging.py |
test_bootstrap_samples |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bootstrap_features |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_probability |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_oob_score_classification |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_oob_score_regression |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_single_estimator |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_error |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_parallel_classification |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_parallel_regression |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_gridsearch |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_estimator |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_with_pipeline |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
DummyZeroEstimator.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
DummyZeroEstimator.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_sample_weight_unsupported_but_passed |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_warm_start |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_warm_start_smaller_n_estimators |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_warm_start_equal_n_estimators |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_warm_start_equivalence |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_warm_start_with_oob_score_fails |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_oob_score_removed_on_warm_start |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_oob_score_consistency |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_estimators_samples |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_estimators_samples_deterministic |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_max_samples_consistency |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_set_oob_score_label_encoding |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
replace |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_regressor_with_missing_inputs |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_classifier_with_missing_inputs |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_small_max_features |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_get_estimators_indices |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_get_estimators_indices.MyEstimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_allow_nan_tag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_with_metadata_routing |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
test_bagging_without_support_metadata_routing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_bagging.py |
(no function) |
77 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_base.py |
test_base |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_base.py |
test_set_random_states |
25 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_base.py |
test_set_random_states.make_steps |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_base.py |
test_set_random_states.AlphaParamPipeline.get_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_base.py |
test_set_random_states.RevParamPipeline.get_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_base.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_common.py |
test_ensemble_heterogeneous_estimators_behavior |
26 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_common.py |
test_ensemble_heterogeneous_estimators_type |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_common.py |
test_ensemble_heterogeneous_estimators_name_validation |
21 |
0 |
0 |
12 |
0 |
100% |
| sklearn/ensemble/tests/test_common.py |
test_ensemble_heterogeneous_estimators_all_dropped |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_common.py |
test_heterogeneous_ensemble_support_missing_values |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_common.py |
(no function) |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_classification_toy |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_iris_criterion |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_regression_criterion |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_poisson_vs_mse |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_balance_property_random_forest |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_regressor_attributes |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_probability |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_importances |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_importances_asymptotic |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_importances_asymptotic.binomial |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_importances_asymptotic.entropy |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_importances_asymptotic.mdi_importance |
21 |
0 |
0 |
17 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_unfitted_feature_importances |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_classifier_oob |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_regressor_oob |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_oob_warning |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_oob_score_requires_bootstrap |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_classifier_error_oob_score_multiclass_multioutput |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_multioutput_integral_regression_target |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_random_trees_embedding_raise_error_oob |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_gridsearch |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_parallel |
15 |
0 |
0 |
4 |
1 |
95% |
| sklearn/ensemble/tests/test_forest.py |
test_pickle |
15 |
0 |
0 |
4 |
1 |
95% |
| sklearn/ensemble/tests/test_forest.py |
test_multioutput |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_multioutput_string |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_classes_shape |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_random_trees_dense_type |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_random_trees_dense_equal |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_random_hasher |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_random_hasher_sparse_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_parallel_train |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_distribution |
28 |
0 |
0 |
12 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_max_leaf_nodes_max_depth |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_min_samples_split |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_min_samples_leaf |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_min_weight_fraction_leaf |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_sparse_input |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_memory_layout |
13 |
0 |
0 |
6 |
1 |
95% |
| sklearn/ensemble/tests/test_forest.py |
test_1d_input |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_class_weights |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_class_weight_balanced_and_bootstrap_multi_output |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_class_weight_errors |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_warm_start |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_warm_start_clear |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_warm_start_smaller_n_estimators |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_warm_start_equal_n_estimators |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_warm_start_oob |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_oob_not_computed_twice |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_dtype_convert |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_decision_path |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_min_impurity_decrease |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_poisson_y_positive_check |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
MyBackend.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
MyBackend.start_call |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_backend_respected |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_feature_importances_sum |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_degenerate_feature_importances |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_max_samples_bootstrap |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_large_max_samples_exception |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_max_samples_boundary_regressors |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_max_samples_boundary_classifiers |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_forest_y_sparse |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_little_tree_with_small_max_samples |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_mse_criterion_object_segfault_smoke_test |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_random_trees_embedding_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_read_only_buffer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_round_samples_to_one_when_samples_too_low |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_estimators_samples |
27 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_missing_values_is_resilient |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_missing_value_is_predictive |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
test_non_supported_criterion_raises_error_with_missing_values |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_forest.py |
(no function) |
188 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_exponential_n_classes_gt_2 |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_raise_if_init_has_no_predict_proba |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_classification_toy |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_classification_synthetic |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_regression_dataset |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_iris |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_regression_synthetic |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_feature_importances |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_probability_log |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_single_class_with_sample_weight |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_check_inputs_predict_stages |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_max_feature_regression |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_feature_importance_regression |
9 |
9 |
0 |
2 |
0 |
0% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_max_features |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_staged_predict |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_staged_predict_proba |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_staged_functions_defensive |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_serialization |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_degenerate_targets |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_quantile_loss |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_symbol_labels |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_float_class_labels |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_shape_y |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_mem_layout |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_oob_improvement |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_oob_scores |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_oob_attributes_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_oob_multilcass_iris |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_verbose_output |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_more_verbose_output |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_n_estimators |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_max_depth |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_clear |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_state_oob_scores |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_smaller_n_estimators |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_equal_n_estimators |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_oob_switch |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_oob |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_sparse |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_fortran |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
early_stopping_monitor |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_monitor_early_stopping |
33 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_complete_classification |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_complete_regression |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_zero_estimator_reg |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_zero_estimator_clf |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_max_leaf_nodes_max_depth |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_min_impurity_decrease |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_warm_start_wo_nestimators_change |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_non_uniform_weights_toy_edge_case_reg |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_non_uniform_weights_toy_edge_case_clf |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_sparse_input |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_gradient_boosting_early_stopping |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_gradient_boosting_without_early_stopping |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_gradient_boosting_validation_fraction |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_early_stopping_stratified |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
_make_multiclass |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_gradient_boosting_with_init |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_gradient_boosting_with_init_pipeline |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_early_stopping_n_classes |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_gbr_degenerate_feature_importances |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_huber_vs_mean_and_median |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_safe_divide |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_squared_error_exact_backward_compat |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_huber_exact_backward_compat |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_binomial_error_exact_backward_compat |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_multinomial_error_exact_backward_compat |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
test_gb_denominator_zero |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_gradient_boosting.py |
(no function) |
139 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_sparse |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_error |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_recalculate_max_depth |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_max_samples_attribute |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_parallel_regression |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_performance |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_works |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_max_samples_consistency |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_subsampled_features |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_average_path_length |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_score_samples |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_warm_start |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_chunks_works1 |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_chunks_works2 |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_with_uniform_data |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_with_n_jobs_does_not_segfault |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_preserve_feature_names |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
test_iforest_sparse_input_float_contamination |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_iforest.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_iris |
23 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_drop_column_binary_classification |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_drop_estimator |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_regressor_drop_estimator |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_regressor_diabetes |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_regressor_sparse_passthrough |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_sparse_passthrough |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_drop_binary_prob |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
NoWeightRegressor.fit |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/tests/test_stacking.py |
NoWeightRegressor.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/tests/test_stacking.py |
NoWeightClassifier.fit |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_regressor_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_randomness |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_stratify_default |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_with_sample_weight |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_sample_weight_fit_param |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_cv_influence |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_prefit |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_prefit_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_without_n_features_in |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_without_n_features_in.MyEstimator.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_multilabel_predict_proba |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_multilabel_decision_function |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_multilabel_auto_predict |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_get_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_classifier_base_regressor |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_stacking_final_estimator_attribute_error |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_routing_passed_metadata_not_supported |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_get_metadata_routing_without_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_metadata_routing_for_stacking_estimators |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
test_metadata_routing_error_for_stacking_estimators |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_stacking.py |
(no function) |
90 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_voting_classifier_estimator_init |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_predictproba_hardvoting |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_notfitted |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_majority_label_iris |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_tie_situation |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_weights_iris |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_weights_regressor |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_predict_on_toy_problem |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_predict_proba_on_toy_problem |
25 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_multilabel |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_gridsearch |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_parallel_fit |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_sample_weight |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_sample_weight.ClassifierErrorFit.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_sample_weight_kwargs |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_sample_weight_kwargs.MockClassifier.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_voting_classifier_set_params |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_set_estimator_drop |
29 |
0 |
0 |
4 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_estimator_weights_format |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_transform |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_none_estimator_with_weights |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_n_features_in |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_voting_verbose |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_get_features_names_out_regressor |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_get_features_names_out_classifier |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_get_features_names_out_classifier_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_routing_passed_metadata_not_supported |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_get_metadata_routing_without_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_metadata_routing_for_voting_estimators |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
test_metadata_routing_error_for_voting_estimators |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_voting.py |
(no function) |
65 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_samme_proba |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_samme_proba.MockEstimator.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_oneclass_adaboost_proba |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_classification_toy |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_regression_toy |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_iris |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_diabetes |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_staged_predict |
27 |
0 |
0 |
10 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_gridsearch |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_pickle |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_importances |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_adaboost_classifier_sample_weight_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_estimator |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sample_weights_infinite |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sparse_classification |
42 |
0 |
0 |
12 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sparse_classification.CustomSVC.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sparse_regression |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sparse_regression.CustomSVR.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sample_weight_adaboost_regressor |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sample_weight_adaboost_regressor.DummyEstimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_sample_weight_adaboost_regressor.DummyEstimator.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_multidimensional_X |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_adaboostclassifier_without_sample_weight |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_adaboostregressor_sample_weight |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_adaboost_consistent_predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_adaboost_negative_weight_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_adaboost_numerically_stable_feature_importance_with_small_weights |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_adaboost_decision_function |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
test_deprecated_samme_r_algorithm |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/ensemble/tests/test_weight_boosting.py |
(no function) |
69 |
0 |
0 |
0 |
0 |
100% |
| sklearn/exceptions.py |
UnsetMetadataPassedError.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/exceptions.py |
InconsistentVersionWarning.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/exceptions.py |
InconsistentVersionWarning.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/exceptions.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/enable_halving_search_cv.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/enable_hist_gradient_boosting.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/enable_iterative_imputer.py |
(no function) |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/tests/test_enable_hist_gradient_boosting.py |
test_import_raises_warning |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/tests/test_enable_hist_gradient_boosting.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/tests/test_enable_iterative_imputer.py |
test_imports_strategies |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/tests/test_enable_iterative_imputer.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/tests/test_enable_successive_halving.py |
test_imports_strategies |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/experimental/tests/test_enable_successive_halving.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/__init__.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer._add_iterable_element |
11 |
0 |
0 |
8 |
1 |
95% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer.fit |
23 |
0 |
0 |
20 |
3 |
93% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer._transform |
50 |
0 |
0 |
28 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer.inverse_transform |
13 |
0 |
0 |
12 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer.get_feature_names_out |
5 |
0 |
0 |
5 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer.restrict |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
DictVectorizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_dict_vectorizer.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_hash.py |
_iteritems |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_hash.py |
FeatureHasher.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_hash.py |
FeatureHasher.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_hash.py |
FeatureHasher.transform |
16 |
1 |
0 |
12 |
1 |
93% |
| sklearn/feature_extraction/_hash.py |
FeatureHasher._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_hash.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/_stop_words.py |
(no function) |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
print_coverage |
9 |
4 |
0 |
4 |
1 |
46% |
| sklearn/feature_extraction/image.py |
_make_edges_3d |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
_compute_gradient_3d |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
_mask_edges_weights |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/image.py |
_to_graph |
27 |
0 |
0 |
12 |
1 |
97% |
| sklearn/feature_extraction/image.py |
img_to_graph |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
grid_to_graph |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
_compute_n_patches |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/image.py |
_extract_patches |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/image.py |
extract_patches_2d |
21 |
5 |
0 |
8 |
2 |
76% |
| sklearn/feature_extraction/image.py |
reconstruct_from_patches_2d |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/image.py |
PatchExtractor.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
PatchExtractor.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
PatchExtractor.transform |
20 |
2 |
0 |
8 |
3 |
82% |
| sklearn/feature_extraction/image.py |
PatchExtractor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/image.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_dictvectorizer |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_feature_selection |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_one_of_k |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_iterable_value |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_iterable_not_string_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_mapping_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_unseen_or_no_features |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_deterministic_vocabulary |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_n_features_in |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_dictvectorizer_dense_sparse_equivalence |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_dict_vectorizer_unsupported_value_type |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_dict_vectorizer_get_feature_names_out |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
test_dict_vectorizer_not_fitted_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_dict_vectorizer.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_feature_hasher_dicts |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_feature_hasher_strings |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_feature_hasher_single_string |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_hashing_transform_seed |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_feature_hasher_pairs |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_feature_hasher_pairs_with_string_values |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_hash_empty_input |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_hasher_zeros |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_hasher_alternate_sign |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
test_hash_collisions |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_feature_hasher.py |
(no function) |
16 |
0 |
0 |
2 |
1 |
94% |
| sklearn/feature_extraction/tests/test_image.py |
test_img_to_graph |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_img_to_graph_sparse |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_grid_to_graph |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_connect_regions |
6 |
5 |
0 |
2 |
0 |
12% |
| sklearn/feature_extraction/tests/test_image.py |
test_connect_regions_with_grid |
8 |
7 |
0 |
0 |
0 |
12% |
| sklearn/feature_extraction/tests/test_image.py |
downsampled_face |
6 |
6 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
orange_face |
6 |
6 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
_make_images |
5 |
5 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
downsampled_face_collection |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_all |
6 |
6 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_all_color |
6 |
5 |
0 |
0 |
0 |
17% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_all_rect |
7 |
6 |
0 |
0 |
0 |
14% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_max_patches |
12 |
11 |
0 |
4 |
0 |
6% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patch_same_size_image |
3 |
3 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_less_than_max_patches |
6 |
6 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
test_reconstruct_patches_perfect |
5 |
4 |
0 |
0 |
0 |
20% |
| sklearn/feature_extraction/tests/test_image.py |
test_reconstruct_patches_perfect_color |
5 |
4 |
0 |
0 |
0 |
20% |
| sklearn/feature_extraction/tests/test_image.py |
test_patch_extractor_fit |
3 |
3 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
test_patch_extractor_max_patches |
13 |
12 |
0 |
0 |
0 |
8% |
| sklearn/feature_extraction/tests/test_image.py |
test_patch_extractor_max_patches_default |
4 |
4 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/tests/test_image.py |
test_patch_extractor_all_patches |
7 |
6 |
0 |
0 |
0 |
14% |
| sklearn/feature_extraction/tests/test_image.py |
test_patch_extractor_color |
7 |
6 |
0 |
0 |
0 |
14% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_strided |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_square |
6 |
4 |
0 |
0 |
0 |
33% |
| sklearn/feature_extraction/tests/test_image.py |
test_width_patch |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_patch_extractor_wrong_input |
5 |
2 |
0 |
2 |
0 |
43% |
| sklearn/feature_extraction/tests/test_image.py |
test_compute_n_patches_int_max_patches_less_than_all_patches |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_compute_n_patches_int_max_patches_greater_than_or_equal_to_all_patches |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_compute_n_patches_float_max_patches_between_0_and_1 |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_compute_n_patches_none |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_compute_n_patches_float_max_patches_bigger_than_1 |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
test_extract_patches_is_instance_both |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_image.py |
(no function) |
40 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
uppercase |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
strip_eacute |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
split_tokenize |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
lazy_analyze |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_strip_accents |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_to_ascii |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_word_analyzer_unigrams |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_word_analyzer_unigrams_and_bigrams |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_unicode_decode_error |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_char_ngram_analyzer |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_char_wb_ngram_analyzer |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_word_ngram_analyzer |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_custom_vocabulary |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_custom_vocabulary_pipeline |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_custom_vocabulary_repeated_indices |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_custom_vocabulary_gap_index |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_stop_words |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_empty_vocabulary |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_fit_countvectorizer_twice |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_custom_token_pattern |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_custom_token_pattern_with_several_group |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_uppercase_in_vocab |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tf_transformer_feature_names_out |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tf_idf_smoothing |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_no_smoothing |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_sublinear_tf |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer |
59 |
0 |
0 |
14 |
2 |
97% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_vectorizer_setters |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_hashing_vectorizer |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_feature_names |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_max_features |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_count_vectorizer_max_features |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_max_df |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_min_df |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_count_binary_occurrences |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_hashed_binary_occurrences |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_inverse_transform |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_count_vectorizer_pipeline_grid_selection |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_pipeline_grid_selection |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_pipeline_cross_validation |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_unicode |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_vectorizer_with_fixed_vocabulary |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_pickling_vectorizer |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_pickling_built_processors |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_vocab_sets_when_pickling |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_vocab_dicts_when_pickling |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_pickling_transformer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_transformer_idf_setter |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_vectorizer_setter |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidfvectorizer_invalid_idf_attr |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_non_unique_vocab |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_hashingvectorizer_nan_in_docs |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_hashingvectorizer_nan_in_docs.func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidfvectorizer_binary |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidfvectorizer_export_idf |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_vocab_clone |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_string_object_as_input |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_transformer_type |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_transformer_sparse |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_vectorizer_type |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizers_invalid_ngram_range |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
_check_stop_words_consistency |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizer_stop_words_inconsistent |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_countvectorizer_sort_features_64bit_sparse_indices |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_stop_word_validation_custom_preprocessor |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_stop_word_validation_custom_preprocessor.CustomEstimator.build_preprocessor |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_callable_analyzer_error |
3 |
0 |
0 |
4 |
1 |
86% |
| sklearn/feature_extraction/tests/test_text.py |
test_callable_analyzer_change_behavior |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_callable_analyzer_reraise_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_callable_analyzer_reraise_error.analyzer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_unused_parameters_warn |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_n_features_in |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tie_breaking_sample_order_invariance |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_nonnegative_hashing_vectorizer_result_indices |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_vectorizers_do_not_have_set_output |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
test_tfidf_transformer_copy |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/tests/test_text.py |
(no function) |
119 |
0 |
0 |
4 |
1 |
99% |
| sklearn/feature_extraction/text.py |
_preprocess |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_analyze |
13 |
0 |
0 |
12 |
3 |
88% |
| sklearn/feature_extraction/text.py |
strip_accents_unicode |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/text.py |
strip_accents_ascii |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
strip_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_check_stop_list |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin.decode |
10 |
1 |
0 |
10 |
2 |
85% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._word_ngrams |
16 |
0 |
0 |
12 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._char_ngrams |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._char_wb_ngrams |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin.build_preprocessor |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin.build_tokenizer |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin.get_stop_words |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._check_stop_words_consistency |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin.build_analyzer |
13 |
1 |
0 |
8 |
1 |
90% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._validate_vocabulary |
23 |
0 |
0 |
18 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._check_vocabulary |
6 |
1 |
0 |
6 |
1 |
83% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._validate_ngram_range |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_VectorizerMixin._warn_for_unused_params |
13 |
0 |
0 |
14 |
0 |
100% |
| sklearn/feature_extraction/text.py |
HashingVectorizer.__init__ |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
HashingVectorizer.partial_fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/feature_extraction/text.py |
HashingVectorizer.fit |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/text.py |
HashingVectorizer.transform |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/text.py |
HashingVectorizer.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
HashingVectorizer._get_hasher |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
HashingVectorizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_document_frequency |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/text.py |
CountVectorizer.__init__ |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
CountVectorizer._sort_features |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/text.py |
CountVectorizer._limit_features |
23 |
2 |
0 |
14 |
4 |
84% |
| sklearn/feature_extraction/text.py |
CountVectorizer._count_vocab |
37 |
3 |
0 |
16 |
1 |
89% |
| sklearn/feature_extraction/text.py |
CountVectorizer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
CountVectorizer.fit_transform |
29 |
1 |
0 |
18 |
1 |
96% |
| sklearn/feature_extraction/text.py |
CountVectorizer.transform |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/text.py |
CountVectorizer.inverse_transform |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_extraction/text.py |
CountVectorizer.get_feature_names_out |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/text.py |
CountVectorizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
_make_int_array |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfTransformer.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfTransformer.fit |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfTransformer.transform |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfTransformer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer.idf_ |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer.idf_ |
9 |
0 |
0 |
8 |
2 |
88% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer._check_params |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer.fit |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer.fit_transform |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
TfidfVectorizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_extraction/text.py |
(no function) |
88 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/__init__.py |
(no function) |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_base.py |
SelectorMixin.get_support |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_base.py |
SelectorMixin._get_support_mask |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_base.py |
SelectorMixin.transform |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_base.py |
SelectorMixin._transform |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/_base.py |
SelectorMixin.inverse_transform |
16 |
1 |
0 |
6 |
1 |
91% |
| sklearn/feature_selection/_base.py |
SelectorMixin.get_feature_names_out |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_base.py |
_get_feature_importances |
23 |
3 |
0 |
20 |
3 |
86% |
| sklearn/feature_selection/_base.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
_calculate_threshold |
26 |
1 |
0 |
16 |
1 |
95% |
| sklearn/feature_selection/_from_model.py |
_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
_estimator_has.check |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel._get_support_mask |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel._check_max_features |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel.fit |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel.threshold_ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel.partial_fit |
22 |
1 |
0 |
12 |
0 |
97% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel.n_features_in_ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
SelectFromModel._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_from_model.py |
(no function) |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_mutual_info.py |
_compute_mi_cc |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_mutual_info.py |
_compute_mi_cd |
28 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/_mutual_info.py |
_compute_mi |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/_mutual_info.py |
_iterate_columns |
10 |
0 |
0 |
8 |
1 |
94% |
| sklearn/feature_selection/_mutual_info.py |
_estimate_mi |
28 |
1 |
0 |
16 |
1 |
95% |
| sklearn/feature_selection/_mutual_info.py |
mutual_info_regression |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_mutual_info.py |
mutual_info_classif |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_mutual_info.py |
(no function) |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
_rfe_single_fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
_estimator_has.check |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE._estimator_type |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.classes_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE._fit |
42 |
0 |
0 |
18 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE._get_support_mask |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFE._more_tags |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFECV.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
RFECV.fit |
28 |
0 |
0 |
8 |
0 |
100% |
| sklearn/feature_selection/_rfe.py |
(no function) |
44 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_sequential.py |
SequentialFeatureSelector.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_sequential.py |
SequentialFeatureSelector.fit |
32 |
0 |
0 |
18 |
1 |
98% |
| sklearn/feature_selection/_sequential.py |
SequentialFeatureSelector._get_best_new_feature_score |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/_sequential.py |
SequentialFeatureSelector._get_support_mask |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_sequential.py |
SequentialFeatureSelector._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_sequential.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
_clean_nans |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
f_oneway |
25 |
0 |
0 |
14 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
f_classif |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
_chisquare |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
chi2 |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
r_regression |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
f_regression |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
_BaseFilter.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
_BaseFilter.fit |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
_BaseFilter._check_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
_BaseFilter._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectPercentile.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectPercentile._get_support_mask |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectPercentile._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectKBest.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectKBest._check_params |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectKBest._get_support_mask |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectKBest._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectFpr.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectFpr._get_support_mask |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectFdr.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectFdr._get_support_mask |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectFwe.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
SelectFwe._get_support_mask |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
GenericUnivariateSelect.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
GenericUnivariateSelect._make_selector |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
GenericUnivariateSelect._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
GenericUnivariateSelect._check_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
GenericUnivariateSelect._get_support_mask |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_univariate_selection.py |
(no function) |
61 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_variance_threshold.py |
VarianceThreshold.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_variance_threshold.py |
VarianceThreshold.fit |
18 |
0 |
0 |
12 |
0 |
100% |
| sklearn/feature_selection/_variance_threshold.py |
VarianceThreshold._get_support_mask |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_variance_threshold.py |
VarianceThreshold._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/_variance_threshold.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
StepSelector.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
StepSelector.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
StepSelector._get_support_mask |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
test_transform_dense |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
test_transform_sparse |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
test_inverse_transform_dense |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
test_inverse_transform_sparse |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
test_get_support |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
test_output_dataframe |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/tests/test_base.py |
(no function) |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_chi2.py |
mkchi2 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_chi2.py |
test_chi2 |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_chi2.py |
test_chi2_coo |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_chi2.py |
test_chi2_negative |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_chi2.py |
test_chi2_unused_feature |
8 |
2 |
0 |
6 |
1 |
64% |
| sklearn/feature_selection/tests/test_chi2.py |
test_chisquare |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_chi2.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_oneway_vs_scipy_stats |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_oneway_ints |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_classif |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_r_regression |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_regression |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_regression_input_dtype |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_regression_center |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_r_regression_force_finite |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_regression_corner_case |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_classif_multi_class |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_percentile_classif |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_percentile_classif_sparse |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_kbest_classif |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_kbest_all |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_kbest_zero |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_heuristics_classif |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
assert_best_scores_kept |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_percentile_regression |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_percentile_regression_full |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_kbest_regression |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_heuristics_regression |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_boundary_case_ch2 |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_fdr_regression |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_fdr_regression.single_fdr |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_select_fwe_regression |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_selectkbest_tiebreaking |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_selectpercentile_tiebreaking |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_tied_pvalues |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_scorefunc_multilabel |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_tied_scores |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_nans |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_invalid_k |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_f_classif_constant_feature |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_no_feature_selected |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_mutual_info_classif |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_mutual_info_regression |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_dataframe_output_dtypes |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_dataframe_output_dtypes.selector |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_unsupervised_filter |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
test_unsupervised_filter.score_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_feature_select.py |
(no function) |
58 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
NaNTag._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
NoNaNTag._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
NaNTagRandomForest._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_invalid_input |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_input_estimator_unchanged |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_max_features_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_inferred_max_features_integer |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_inferred_max_features_callable |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_max_features_array_like |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_max_features_callable_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
FixedImportanceEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
FixedImportanceEstimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_max_features |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_max_features_tiebreak |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_threshold_and_max_features |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_feature_importances |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_sample_weight |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_coef_default_threshold |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_2d_coef |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_partial_fit |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_calling_fit_reinitializes |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_prefit |
27 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_prefit_max_features |
10 |
0 |
0 |
6 |
1 |
94% |
| sklearn/feature_selection/tests/test_from_model.py |
test_prefit_get_feature_names_out |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_threshold_string |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_threshold_without_refitting |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_fit_accepts_nan_inf |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_transform_accepts_nan_inf |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_allow_nan_tag_comes_from_estimator |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
_pca_importances |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_importance_getter |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_select_from_model_pls |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_estimator_does_not_support_feature_names |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_estimator_does_not_support_feature_names.importance_getter |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_partial_fit_validate_max_features |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_partial_fit_validate_feature_names |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
test_from_model_estimator_attribute_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_from_model.py |
(no function) |
72 |
0 |
0 |
10 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_compute_mi_dd |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_compute_mi_cc |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_compute_mi_cd |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_compute_mi_cd_unique_label |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_mutual_info_classif_discrete |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_mutual_info_regression |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_mutual_info_classif_mixed |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_mutual_info_options |
24 |
0 |
0 |
12 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_mutual_information_symmetry_classif_regression |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_mutual_info_regression_X_int_dtype |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
test_mutual_info_n_jobs |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_mutual_info.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
MockClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
MockClassifier.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
MockClassifier.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/feature_selection/tests/test_rfe.py |
MockClassifier.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
MockClassifier.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
MockClassifier.set_params |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/feature_selection/tests/test_rfe.py |
MockClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_features_importance |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_RFE_fit_score_params |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_RFE_fit_score_params.TestEstimator.fit |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_RFE_fit_score_params.TestEstimator.score |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_percent_n_features |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_mockclassifier |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfecv |
47 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfecv.test_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfecv_mockclassifier |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfecv_verbose_output |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfecv_cv_results_size |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_estimator_tags |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_min_step |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_number_of_subsets_of_features |
25 |
0 |
0 |
6 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_number_of_subsets_of_features.formula1 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_number_of_subsets_of_features.formula2 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_cv_n_jobs |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_cv_groups |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_wrapped_estimator |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_importance_getter_validation |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_allow_nan_inf_in_x |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_w_pipeline_2d_coef_ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfecv_std_and_mean |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfecv_cv_results_n_features |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_multioutput |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_pipeline_with_nans |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_pls |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_estimator_attribute_error |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
test_rfe_n_features_to_select_warning |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_rfe.py |
(no function) |
69 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_bad_n_features_to_select |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_n_features_to_select |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_n_features_to_select_auto |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_n_features_to_select_stopping_criterion |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_n_features_to_select_float |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_sanity |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_sparse_support |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_nan_support |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_pipeline_support |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_unsupervised_model_fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_no_y_validation_model_fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_forward_neg_tol_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_backward_neg_tol |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
test_cv_generator_support |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_sequential.py |
(no function) |
39 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_variance_threshold.py |
test_zero_variance |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_variance_threshold.py |
test_zero_variance_value_error |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/feature_selection/tests/test_variance_threshold.py |
test_variance_threshold |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_variance_threshold.py |
test_zero_variance_floating_point_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/feature_selection/tests/test_variance_threshold.py |
test_variance_nan |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/feature_selection/tests/test_variance_threshold.py |
(no function) |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/__init__.py |
(no function) |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace.fit |
30 |
3 |
0 |
14 |
3 |
86% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace.fit.obj_func |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace.predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace.predict_proba |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace.log_marginal_likelihood |
25 |
1 |
0 |
12 |
1 |
95% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace._posterior_mode |
22 |
2 |
0 |
8 |
3 |
83% |
| sklearn/gaussian_process/_gpc.py |
_BinaryGaussianProcessClassifierLaplace._constrained_optimization |
8 |
1 |
0 |
4 |
1 |
83% |
| sklearn/gaussian_process/_gpc.py |
GaussianProcessClassifier.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
GaussianProcessClassifier.fit |
21 |
3 |
0 |
16 |
1 |
84% |
| sklearn/gaussian_process/_gpc.py |
GaussianProcessClassifier.predict |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
GaussianProcessClassifier.predict_proba |
7 |
1 |
0 |
4 |
1 |
82% |
| sklearn/gaussian_process/_gpc.py |
GaussianProcessClassifier.kernel_ |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/_gpc.py |
GaussianProcessClassifier.log_marginal_likelihood |
17 |
3 |
0 |
16 |
3 |
82% |
| sklearn/gaussian_process/_gpc.py |
(no function) |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor.fit |
48 |
1 |
0 |
20 |
1 |
97% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor.fit.obj_func |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor.predict |
47 |
1 |
0 |
28 |
1 |
97% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor.sample_y |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor.log_marginal_likelihood |
33 |
0 |
0 |
14 |
0 |
100% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor._constrained_optimization |
8 |
1 |
0 |
4 |
1 |
83% |
| sklearn/gaussian_process/_gpr.py |
GaussianProcessRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/_gpr.py |
(no function) |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
_check_length_scale |
6 |
2 |
0 |
4 |
2 |
60% |
| sklearn/gaussian_process/kernels.py |
Hyperparameter.__new__ |
10 |
1 |
0 |
10 |
2 |
85% |
| sklearn/gaussian_process/kernels.py |
Hyperparameter.__eq__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.get_params |
15 |
2 |
0 |
10 |
2 |
84% |
| sklearn/gaussian_process/kernels.py |
Kernel.set_params |
15 |
3 |
0 |
10 |
3 |
76% |
| sklearn/gaussian_process/kernels.py |
Kernel.clone_with_theta |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.n_dims |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.hyperparameters |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.theta |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.theta |
13 |
1 |
0 |
8 |
1 |
90% |
| sklearn/gaussian_process/kernels.py |
Kernel.bounds |
4 |
1 |
0 |
4 |
1 |
75% |
| sklearn/gaussian_process/kernels.py |
Kernel.__add__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.__radd__ |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/gaussian_process/kernels.py |
Kernel.__mul__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.__rmul__ |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/gaussian_process/kernels.py |
Kernel.__pow__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.__eq__ |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.__repr__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/gaussian_process/kernels.py |
Kernel.__call__ |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.diag |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.is_stationary |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel.requires_vector_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Kernel._check_bounds_params |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
NormalizedKernelMixin.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
StationaryKernelMixin.is_stationary |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
GenericKernelMixin.requires_vector_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.get_params |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.theta |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.theta |
3 |
3 |
0 |
2 |
0 |
0% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.bounds |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.__call__ |
9 |
9 |
0 |
6 |
0 |
0% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.__eq__ |
3 |
3 |
0 |
4 |
0 |
0% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.is_stationary |
1 |
1 |
0 |
2 |
0 |
0% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.requires_vector_input |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
CompoundKernel.diag |
1 |
1 |
0 |
2 |
0 |
0% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.get_params |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.hyperparameters |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.theta |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.theta |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.bounds |
5 |
2 |
0 |
4 |
2 |
56% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.__eq__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.is_stationary |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
KernelOperator.requires_vector_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Sum.__call__ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Sum.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Sum.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Product.__call__ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Product.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Product.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.get_params |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.hyperparameters |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.theta |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.theta |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.bounds |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.__eq__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.__call__ |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.is_stationary |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Exponentiation.requires_vector_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ConstantKernel.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ConstantKernel.hyperparameter_constant_value |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ConstantKernel.__call__ |
10 |
1 |
0 |
8 |
1 |
89% |
| sklearn/gaussian_process/kernels.py |
ConstantKernel.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ConstantKernel.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
WhiteKernel.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
WhiteKernel.hyperparameter_noise_level |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
WhiteKernel.__call__ |
10 |
2 |
0 |
8 |
2 |
78% |
| sklearn/gaussian_process/kernels.py |
WhiteKernel.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
WhiteKernel.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RBF.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RBF.anisotropic |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RBF.hyperparameter_length_scale |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RBF.__call__ |
22 |
1 |
0 |
12 |
2 |
91% |
| sklearn/gaussian_process/kernels.py |
RBF.__repr__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Matern.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
Matern.__call__ |
52 |
6 |
0 |
30 |
2 |
88% |
| sklearn/gaussian_process/kernels.py |
Matern.__repr__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RationalQuadratic.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RationalQuadratic.hyperparameter_length_scale |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RationalQuadratic.hyperparameter_alpha |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
RationalQuadratic.__call__ |
24 |
1 |
0 |
12 |
1 |
94% |
| sklearn/gaussian_process/kernels.py |
RationalQuadratic.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ExpSineSquared.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ExpSineSquared.hyperparameter_length_scale |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ExpSineSquared.hyperparameter_periodicity |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
ExpSineSquared.__call__ |
22 |
1 |
0 |
10 |
1 |
94% |
| sklearn/gaussian_process/kernels.py |
ExpSineSquared.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
DotProduct.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
DotProduct.hyperparameter_sigma_0 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
DotProduct.__call__ |
13 |
1 |
0 |
8 |
1 |
90% |
| sklearn/gaussian_process/kernels.py |
DotProduct.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
DotProduct.is_stationary |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
DotProduct.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
_approx_fprime |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
PairwiseKernel.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
PairwiseKernel.hyperparameter_gamma |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
PairwiseKernel.__call__ |
12 |
0 |
0 |
6 |
1 |
94% |
| sklearn/gaussian_process/kernels.py |
PairwiseKernel.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
PairwiseKernel.is_stationary |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
PairwiseKernel.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/kernels.py |
(no function) |
169 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
MiniSeqKernel.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
MiniSeqKernel.hyperparameter_baseline_similarity |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
MiniSeqKernel._f |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
MiniSeqKernel._g |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
MiniSeqKernel.__call__ |
5 |
0 |
0 |
8 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
MiniSeqKernel.diag |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
MiniSeqKernel.clone_with_theta |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/_mini_sequence_kernel.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_predict_consistent |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_predict_consistent_structured |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_lml_improving |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_lml_precomputed |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_lml_without_cloning_kernel |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_converged_to_local_maximum |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_lml_gradient |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_random_starts |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_custom_optimizer |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_custom_optimizer.optimizer |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_multi_class |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_multi_class_n_jobs |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_warning_bounds |
26 |
0 |
0 |
6 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
test_gpc_fit_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpc.py |
(no function) |
45 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_interpolation |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_interpolation_structured |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_lml_improving |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_lml_precomputed |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_lml_without_cloning_kernel |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_converged_to_local_maximum |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_solution_inside_bounds |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_lml_gradient |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_prior |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_sample_statistics |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_no_optimizer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_predict_cov_vs_std |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_anisotropic_kernel |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_random_starts |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_y_normalization |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_large_variance_y |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_y_multioutput |
26 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_custom_optimizer |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_custom_optimizer.optimizer |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_correct_error_message |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_duplicate_input |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_no_fit_default_predict |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_warning_bounds |
26 |
0 |
0 |
6 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_bound_check_fixed_hyperparameter |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_constant_target |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_consistency_std_cov_non_invertible_kernel |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_fit_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_lml_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_predict_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_predict_shapes |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_sample_y_shapes |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_sample_y_shape_with_prior |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_predict_shape_with_prior |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_n_targets_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
CustomKernel.diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
test_gpr_predict_input_not_modified |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_gpr.py |
(no function) |
78 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_gradient |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_gradient.eval_kernel_for_theta |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_theta |
28 |
0 |
0 |
16 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_auto_vs_cross |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_diag |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_operator_commutative |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_anisotropic |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_stationary |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_input_type |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_compound_kernel_input_type |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
check_hyperparameters_equal |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_clone |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_clone_after_set_params |
16 |
2 |
0 |
4 |
1 |
85% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_matern_kernel |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_kernel_versus_pairwise |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_set_get_params |
26 |
0 |
0 |
16 |
2 |
95% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_repr_kernels |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
test_rational_quadratic_kernel |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/gaussian_process/tests/test_kernels.py |
(no function) |
43 |
0 |
0 |
10 |
0 |
100% |
| sklearn/impute/__init__.py |
__getattr__ |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/impute/__init__.py |
(no function) |
7 |
1 |
0 |
2 |
1 |
78% |
| sklearn/impute/_base.py |
_check_inputs_dtype |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/_base.py |
_most_frequent |
18 |
0 |
0 |
14 |
1 |
97% |
| sklearn/impute/_base.py |
_BaseImputer.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
_BaseImputer._fit_indicator |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_base.py |
_BaseImputer._transform_indicator |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/_base.py |
_BaseImputer._concatenate_indicator |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/impute/_base.py |
_BaseImputer._concatenate_indicator_feature_names_out |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_base.py |
_BaseImputer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
SimpleImputer.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
SimpleImputer._validate_input |
35 |
0 |
0 |
25 |
0 |
100% |
| sklearn/impute/_base.py |
SimpleImputer.fit |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/impute/_base.py |
SimpleImputer._sparse_fit |
27 |
0 |
0 |
14 |
1 |
98% |
| sklearn/impute/_base.py |
SimpleImputer._dense_fit |
33 |
0 |
0 |
18 |
1 |
98% |
| sklearn/impute/_base.py |
SimpleImputer.transform |
36 |
2 |
0 |
16 |
2 |
92% |
| sklearn/impute/_base.py |
SimpleImputer.inverse_transform |
21 |
1 |
0 |
6 |
1 |
93% |
| sklearn/impute/_base.py |
SimpleImputer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
SimpleImputer.get_feature_names_out |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator._get_missing_features_info |
22 |
0 |
0 |
18 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator._validate_input |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator._fit |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator.transform |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator.fit_transform |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator.get_feature_names_out |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_base.py |
MissingIndicator._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_base.py |
(no function) |
50 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_iterative.py |
_assign_where |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer.__init__ |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer._impute_one_feature |
32 |
1 |
0 |
10 |
1 |
95% |
| sklearn/impute/_iterative.py |
IterativeImputer._get_neighbor_feat_idx |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer._get_ordered_idx |
18 |
0 |
0 |
12 |
1 |
97% |
| sklearn/impute/_iterative.py |
IterativeImputer._get_abs_corr_mat |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer._initial_imputation |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer._validate_limit |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer.fit_transform |
55 |
0 |
0 |
30 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer.transform |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer.get_feature_names_out |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_iterative.py |
IterativeImputer.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_iterative.py |
(no function) |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_knn.py |
KNNImputer.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_knn.py |
KNNImputer._calc_impute |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_knn.py |
KNNImputer.fit |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/_knn.py |
KNNImputer.transform |
28 |
2 |
0 |
10 |
1 |
92% |
| sklearn/impute/_knn.py |
KNNImputer.transform.process_chunk |
22 |
2 |
0 |
10 |
1 |
91% |
| sklearn/impute/_knn.py |
KNNImputer.get_feature_names_out |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/_knn.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
data |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
NoFitIndicatorImputer.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
NoFitIndicatorImputer.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
NoTransformIndicatorImputer.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
NoTransformIndicatorImputer.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
NoPrecomputedMaskFit.fit |
2 |
1 |
0 |
0 |
0 |
50% |
| sklearn/impute/tests/test_base.py |
NoPrecomputedMaskFit.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/impute/tests/test_base.py |
NoPrecomputedMaskTransform.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
NoPrecomputedMaskTransform.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
test_base_imputer_not_fit |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
test_base_imputer_not_transform |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
test_base_no_precomputed_mask_fit |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
test_base_no_precomputed_mask_transform |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
test_assign_where |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_base.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
imputers |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
sparse_imputers |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
test_imputation_missing_value_in_test_array |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
test_imputers_add_indicator |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
test_imputers_add_indicator_sparse |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
test_imputers_pandas_na_integer_array_support |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
test_imputers_feature_names_out_pandas |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
test_keep_empty_features |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
test_imputation_adds_missing_indicator_if_add_indicator_is_true |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_common.py |
(no function) |
33 |
0 |
0 |
14 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
_assert_array_equal_and_same_dtype |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
_assert_allclose_and_same_dtype |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
_check_statistics |
15 |
0 |
0 |
4 |
1 |
95% |
| sklearn/impute/tests/test_impute.py |
test_imputation_shape |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_deletion_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_deletion_warning_feature_names |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_error_sparse_0 |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
safe_median |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
safe_mean |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_mean_median |
31 |
1 |
0 |
10 |
1 |
95% |
| sklearn/impute/tests/test_impute.py |
test_imputation_median_special_cases |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_mean_median_error_invalid_type |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_mean_median_error_invalid_type_list_pandas |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_const_mostf_error_invalid_types |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_most_frequent |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_most_frequent_objects |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_most_frequent_pandas |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_constant_error_invalid_type |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_constant_integer |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_constant_float |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_constant_object |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_constant_pandas |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_one_feature |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_pipeline_grid_search |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_copy |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_zero_iters |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_verbose |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_all_missing |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_imputation_order |
20 |
0 |
0 |
10 |
1 |
97% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_estimators |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_clip |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_clip_truncnorm |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_truncated_normal_posterior |
14 |
1 |
0 |
4 |
1 |
89% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_missing_at_transform |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_transform_stochasticity |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_no_missing |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_rank_one |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_transform_recovery |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_additive_matrix |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_early_stopping |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_catch_warning |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_min_max_array_like |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_catch_min_max_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_min_max_array_like_imputation |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_skip_non_missing |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_dont_set_random_state |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_dont_set_random_state.ZeroEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_dont_set_random_state.ZeroEstimator.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_dont_set_random_state.ZeroEstimator.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
_generate_missing_indicator_cases |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_new |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_raise_on_sparse_with_missing_0 |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_sparse_param |
21 |
2 |
0 |
8 |
1 |
90% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_string |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_with_imputer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_inconsistent_dtype_X_missing_values |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_no_missing |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_sparse_no_explicit_zeros |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputer_without_indicator |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_imputation_add_indicator_sparse_matrix |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_imputation_string_list |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_order |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_imputation_inverse_transform |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_imputation_inverse_transform_exceptions |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_most_frequent |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_keep_empty_features |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_iterative_imputer_constant_fill_value |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_knn_imputer_keep_empty_features |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_impute_pd_na |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_missing_indicator_feature_names_out |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputer_lists_fit_transform |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputer_transform_preserves_numeric_dtype |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_imputer_constant_keep_empty_features |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_imputer_keep_empty_features |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_imputation_custom |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
test_simple_imputer_constant_fill_value_casting |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/impute/tests/test_impute.py |
(no function) |
153 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_shape |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_default_with_invalid_input |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_removes_all_na_features |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_zero_nan_imputes_the_same |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_verify |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_one_n_neighbors |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_all_samples_are_neighbors |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_weight_uniform |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_weight_uniform.no_weight |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_weight_uniform.uniform_weight |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_weight_distance |
50 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_callable_metric |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_callable_metric.custom_callable |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_with_simple_example |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_not_enough_valid_distances |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_nan_distance |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_drops_all_nan_features |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_imputer_distance_weighted_not_enough_neighbors |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
test_knn_tags |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/impute/tests/test_knn.py |
(no function) |
44 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/__init__.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_partial_dependence.py |
_grid_from_X |
22 |
0 |
0 |
15 |
0 |
100% |
| sklearn/inspection/_partial_dependence.py |
_partial_dependence_recursion |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_partial_dependence.py |
_partial_dependence_brute |
39 |
7 |
0 |
22 |
1 |
80% |
| sklearn/inspection/_partial_dependence.py |
partial_dependence |
64 |
2 |
0 |
60 |
2 |
97% |
| sklearn/inspection/_partial_dependence.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_pd_utils.py |
_check_feature_names |
9 |
0 |
0 |
10 |
0 |
100% |
| sklearn/inspection/_pd_utils.py |
_get_feature_index |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/_pd_utils.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_permutation_importance.py |
_weights_scorer |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_permutation_importance.py |
_calculate_permutation_scores |
22 |
0 |
0 |
10 |
0 |
100% |
| sklearn/inspection/_permutation_importance.py |
_create_importances_bunch |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_permutation_importance.py |
permutation_importance |
14 |
0 |
0 |
12 |
0 |
100% |
| sklearn/inspection/_permutation_importance.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/decision_boundary.py |
_check_boundary_response_method |
15 |
0 |
0 |
10 |
0 |
100% |
| sklearn/inspection/_plot/decision_boundary.py |
DecisionBoundaryDisplay.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/decision_boundary.py |
DecisionBoundaryDisplay.plot |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/inspection/_plot/decision_boundary.py |
DecisionBoundaryDisplay.from_estimator |
43 |
0 |
0 |
22 |
0 |
100% |
| sklearn/inspection/_plot/decision_boundary.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay.from_estimator |
84 |
1 |
0 |
84 |
2 |
98% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay._get_sample_count |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay._plot_ice_lines |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay._plot_average_dependence |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay._plot_one_way_partial_dependence |
23 |
0 |
0 |
20 |
0 |
100% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay._plot_two_way_partial_dependence |
41 |
0 |
0 |
6 |
1 |
98% |
| sklearn/inspection/_plot/partial_dependence.py |
PartialDependenceDisplay.plot |
137 |
1 |
0 |
72 |
3 |
98% |
| sklearn/inspection/_plot/partial_dependence.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
load_iris_2d_scaled |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
fitted_clf |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_input_data_dimension |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_check_boundary_response_method_error |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_check_boundary_response_method |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_multiclass_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_multiclass |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_input_validation_errors |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_display_plot_input_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_decision_boundary_display_classifier |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_decision_boundary_display_outlier_detector |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_decision_boundary_display_regressor |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_error_bad_response |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_error_bad_response.MyClassifier.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_multilabel_classifier_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_multi_output_multi_class_classifier_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_multioutput_regressor_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_regressor_unsupported_response |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_dataframe_labels_used |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_string_target |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_dataframe_support |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_class_of_interest_binary |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_class_of_interest_multiclass |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
test_subclass_named_constructors_return_type_is_subclass |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_boundary_decision_display.py |
(no function) |
56 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
diabetes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
clf_diabetes |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence |
43 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_kind |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_str_features |
39 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_custom_axes |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_passing_numpy_axes |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_incorrent_num_axes |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_with_same_axes |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_feature_name_reuse |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_multiclass |
32 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_multioutput |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_dataframe |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_multiclass_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_does_not_override_ylabel |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_with_categorical |
33 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_legend |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_subsampling |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_overwrite_labels |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_grid_resolution_with_categorical |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_plot_limits_one_way |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_plot_limits_two_way |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_kind_list |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_kind_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_plot_partial_dependence_lines_kw |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_display_wrong_len_kind |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_display_kind_centered_interaction |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_partial_dependence_display_with_constant_sample_weight |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
test_subclass_named_constructors_return_type_is_subclass |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/_plot/tests/test_plot_partial_dependence.py |
(no function) |
79 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_output_shape |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_grid_from_X |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_grid_from_X_with_categorical |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_grid_from_X_heterogeneous_type |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_grid_from_X_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_helpers |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_recursion_decision_tree_vs_forest_and_gbdt |
29 |
3 |
0 |
2 |
0 |
90% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_recursion_decision_function |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_easy_target |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_multiclass_multioutput |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
NoPredictProbaNoDecisionFunction.fit |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_unknown_feature_indices |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_unknown_feature_string |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_X_list |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_warning_recursion_non_constant_init |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_sample_weight_of_fitted_estimator |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_hist_gbdt_sw_not_supported |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_pipeline |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_dataframe |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_feature_type |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_unfitted |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_kind_average_and_average_of_individual |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_kind_individual_ignores_sample_weight |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_non_null_weight_idx |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_equivalence_equal_sample_weight |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_sample_weight_size_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_partial_dependence_sample_weight_with_recursion |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
test_mixed_type_categorical |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_partial_dependence.py |
(no function) |
89 |
0 |
0 |
6 |
0 |
100% |
| sklearn/inspection/tests/test_pd_utils.py |
test_check_feature_names |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_pd_utils.py |
test_check_feature_names_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_pd_utils.py |
test_get_feature_index |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_pd_utils.py |
test_get_feature_names_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_pd_utils.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_correlated_feature_regression |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_correlated_feature_regression_pandas |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_robustness_to_high_cardinality_noisy_feature |
28 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_mixed_types |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_mixed_types_pandas |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_linear_regresssion |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_equivalence_sequential_parallel |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_equivalence_array_dataframe |
23 |
1 |
0 |
2 |
1 |
92% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_large_memmaped_data |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_sample_weight |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_no_weights_scoring_function |
12 |
2 |
0 |
2 |
0 |
86% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_no_weights_scoring_function.my_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_multi_metric |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
test_permutation_importance_max_samples_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/inspection/tests/test_permutation_importance.py |
(no function) |
41 |
0 |
0 |
2 |
0 |
100% |
| sklearn/isotonic.py |
check_increasing |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/isotonic.py |
isotonic_regression |
17 |
7 |
0 |
8 |
2 |
64% |
| sklearn/isotonic.py |
IsotonicRegression.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression._check_input_data_shape |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression._build_f |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression._build_y |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression.fit |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression._transform |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression.get_feature_names_out |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression.__getstate__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression.__setstate__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/isotonic.py |
IsotonicRegression._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/isotonic.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
PolynomialCountSketch.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
PolynomialCountSketch.fit |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/kernel_approximation.py |
PolynomialCountSketch.transform |
25 |
1 |
0 |
16 |
1 |
95% |
| sklearn/kernel_approximation.py |
RBFSampler.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
RBFSampler.fit |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/kernel_approximation.py |
RBFSampler.transform |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
RBFSampler._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
SkewedChi2Sampler.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
SkewedChi2Sampler.fit |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/kernel_approximation.py |
SkewedChi2Sampler.transform |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/kernel_approximation.py |
SkewedChi2Sampler._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
AdditiveChi2Sampler.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
AdditiveChi2Sampler.fit |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/kernel_approximation.py |
AdditiveChi2Sampler.transform |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/kernel_approximation.py |
AdditiveChi2Sampler.get_feature_names_out |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/kernel_approximation.py |
AdditiveChi2Sampler._transform_dense |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/kernel_approximation.py |
AdditiveChi2Sampler._transform_sparse |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/kernel_approximation.py |
AdditiveChi2Sampler._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
Nystroem.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
Nystroem.fit |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/kernel_approximation.py |
Nystroem.transform |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
Nystroem._get_kernel_params |
10 |
0 |
0 |
10 |
0 |
100% |
| sklearn/kernel_approximation.py |
Nystroem._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_approximation.py |
(no function) |
55 |
2 |
0 |
0 |
0 |
96% |
| sklearn/kernel_ridge.py |
KernelRidge.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_ridge.py |
KernelRidge._get_kernel |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/kernel_ridge.py |
KernelRidge._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_ridge.py |
KernelRidge.fit |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/kernel_ridge.py |
KernelRidge.predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/kernel_ridge.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/__init__.py |
(no function) |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_base.py |
make_dataset |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_base.py |
_preprocess_data |
30 |
1 |
0 |
16 |
1 |
96% |
| sklearn/linear_model/_base.py |
_rescale_data |
20 |
0 |
0 |
14 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearModel.fit |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearModel._decision_function |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearModel.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearModel._set_intercept |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearModel._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearClassifierMixin.decision_function |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearClassifierMixin.predict |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearClassifierMixin._predict_proba_lr |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_base.py |
SparseCoefMixin.densify |
5 |
0 |
0 |
2 |
1 |
86% |
| sklearn/linear_model/_base.py |
SparseCoefMixin.sparsify |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearRegression.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_base.py |
LinearRegression.fit |
37 |
0 |
0 |
24 |
0 |
100% |
| sklearn/linear_model/_base.py |
_check_precomputed_gram_matrix |
13 |
0 |
0 |
6 |
1 |
95% |
| sklearn/linear_model/_base.py |
_pre_fit |
30 |
0 |
0 |
20 |
0 |
100% |
| sklearn/linear_model/_base.py |
(no function) |
42 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
BayesianRidge.__init__ |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
BayesianRidge.fit |
54 |
1 |
0 |
18 |
1 |
97% |
| sklearn/linear_model/_bayes.py |
BayesianRidge.predict |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
BayesianRidge._update_coef_ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
BayesianRidge._log_marginal_likelihood |
13 |
3 |
0 |
2 |
1 |
73% |
| sklearn/linear_model/_bayes.py |
ARDRegression.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
ARDRegression.fit |
53 |
1 |
0 |
12 |
1 |
97% |
| sklearn/linear_model/_bayes.py |
ARDRegression.fit.update_coeff |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
ARDRegression._update_sigma_woodbury |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
ARDRegression._update_sigma |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
ARDRegression.predict |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_bayes.py |
(no function) |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
_set_order |
13 |
1 |
0 |
8 |
2 |
86% |
| sklearn/linear_model/_coordinate_descent.py |
_alpha_grid |
25 |
0 |
0 |
16 |
1 |
98% |
| sklearn/linear_model/_coordinate_descent.py |
lasso_path |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
enet_path |
72 |
7 |
0 |
46 |
3 |
88% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNet.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNet.fit |
49 |
0 |
0 |
29 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNet.sparse_coef_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNet._decision_function |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
Lasso.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
_path_residuals |
43 |
1 |
0 |
16 |
1 |
97% |
| sklearn/linear_model/_coordinate_descent.py |
LinearModelCV.__init__ |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LinearModelCV._get_estimator |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LinearModelCV._is_multitask |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LinearModelCV.path |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LinearModelCV.fit |
102 |
1 |
0 |
56 |
1 |
99% |
| sklearn/linear_model/_coordinate_descent.py |
LinearModelCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LinearModelCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LassoCV.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LassoCV._get_estimator |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LassoCV._is_multitask |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
LassoCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNetCV.__init__ |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNetCV._get_estimator |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNetCV._is_multitask |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
ElasticNetCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNet.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNet.fit |
23 |
2 |
0 |
6 |
2 |
86% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNet._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskLasso.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNetCV.__init__ |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNetCV._get_estimator |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNetCV._is_multitask |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNetCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskElasticNetCV.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskLassoCV.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskLassoCV._get_estimator |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskLassoCV._is_multitask |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskLassoCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
MultiTaskLassoCV.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_coordinate_descent.py |
(no function) |
101 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/__init__.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.setup |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.update_gradient_hessian |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.inner_solve |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.fallback_lbfgs_solve |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.line_search |
43 |
0 |
0 |
20 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.check_convergence |
16 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.finalize |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonSolver.solve |
24 |
1 |
0 |
12 |
1 |
94% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonCholeskySolver.setup |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonCholeskySolver.update_gradient_hessian |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/_newton_solver.py |
NewtonCholeskySolver.inner_solve |
22 |
5 |
0 |
12 |
2 |
74% |
| sklearn/linear_model/_glm/_newton_solver.py |
(no function) |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
_GeneralizedLinearRegressor.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
_GeneralizedLinearRegressor.fit |
42 |
5 |
0 |
20 |
1 |
87% |
| sklearn/linear_model/_glm/glm.py |
_GeneralizedLinearRegressor._linear_predictor |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
_GeneralizedLinearRegressor.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
_GeneralizedLinearRegressor.score |
12 |
2 |
0 |
4 |
2 |
75% |
| sklearn/linear_model/_glm/glm.py |
_GeneralizedLinearRegressor._more_tags |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
_GeneralizedLinearRegressor._get_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
PoissonRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
PoissonRegressor._get_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
GammaRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
GammaRegressor._get_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
TweedieRegressor.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
TweedieRegressor._get_loss |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_glm/glm.py |
(no function) |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
BinomialRegressor._get_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
_special_minimize |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
regression_data |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
glm_dataset |
30 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_regression |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_regression_hstacked_X |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_regression_vstacked_X |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_regression_unpenalized |
33 |
0 |
0 |
16 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_regression_unpenalized_hstacked_X |
37 |
0 |
0 |
14 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_regression_unpenalized_vstacked_X |
35 |
0 |
0 |
14 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_sample_weights_validation |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_wrong_y_range |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_identity_regression |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_sample_weight_consistency |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_glm_log_regression |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_warm_start |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_normal_ridge_comparison |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_poisson_glmnet |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_convergence_warning |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_tweedie_link_argument |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_tweedie_link_auto |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_tweedie_score |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_linalg_warning_with_newton_solver |
31 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
test_newton_solver_verbosity |
49 |
0 |
0 |
22 |
0 |
100% |
| sklearn/linear_model/_glm/tests/test_glm.py |
(no function) |
81 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_huber.py |
_huber_loss_and_gradient |
43 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_huber.py |
HuberRegressor.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_huber.py |
HuberRegressor.fit |
23 |
1 |
0 |
8 |
1 |
94% |
| sklearn/linear_model/_huber.py |
(no function) |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
lars_path |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
lars_path_gram |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
_lars_path_solver |
199 |
14 |
0 |
108 |
6 |
93% |
| sklearn/linear_model/_least_angle.py |
Lars.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
Lars._get_gram |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
Lars._fit |
33 |
0 |
0 |
14 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
Lars.fit |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LassoLars.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
_check_copy_and_writeable |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
_lars_path_residues |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LarsCV.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LarsCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LarsCV.fit |
40 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LarsCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LassoLarsCV.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LassoLarsIC.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LassoLarsIC._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
LassoLarsIC.fit |
30 |
1 |
0 |
12 |
1 |
95% |
| sklearn/linear_model/_least_angle.py |
LassoLarsIC._estimate_noise_variance |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_least_angle.py |
(no function) |
61 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.init_zero_coef |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.weight_intercept |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.weight_intercept_raw |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.l2_penalty |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.loss |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.loss_gradient |
22 |
0 |
0 |
10 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.gradient |
21 |
1 |
0 |
10 |
1 |
94% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.gradient_hessian |
36 |
0 |
0 |
18 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.gradient_hessian_product |
47 |
0 |
0 |
20 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
LinearModelLoss.gradient_hessian_product.hessp |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_linear_loss.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
_check_solver |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
_check_multi_class |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
_logistic_regression_path |
131 |
8 |
0 |
76 |
5 |
93% |
| sklearn/linear_model/_logistic.py |
_log_reg_scoring_path |
34 |
1 |
0 |
16 |
1 |
96% |
| sklearn/linear_model/_logistic.py |
LogisticRegression.__init__ |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegression.fit |
72 |
0 |
0 |
44 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegression.predict_proba |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegression.predict_log_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegressionCV.__init__ |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegressionCV.fit |
125 |
1 |
0 |
65 |
1 |
99% |
| sklearn/linear_model/_logistic.py |
LogisticRegressionCV.score |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegressionCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegressionCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
LogisticRegressionCV._get_scorer |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_logistic.py |
(no function) |
49 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_omp.py |
_cholesky_omp |
45 |
2 |
0 |
18 |
1 |
95% |
| sklearn/linear_model/_omp.py |
_gram_omp |
53 |
3 |
0 |
20 |
2 |
93% |
| sklearn/linear_model/_omp.py |
orthogonal_mp |
40 |
1 |
0 |
26 |
1 |
97% |
| sklearn/linear_model/_omp.py |
orthogonal_mp_gram |
39 |
5 |
0 |
30 |
5 |
86% |
| sklearn/linear_model/_omp.py |
OrthogonalMatchingPursuit.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_omp.py |
OrthogonalMatchingPursuit.fit |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_omp.py |
_omp_path_residues |
18 |
0 |
0 |
6 |
1 |
96% |
| sklearn/linear_model/_omp.py |
OrthogonalMatchingPursuitCV.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_omp.py |
OrthogonalMatchingPursuitCV.fit |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_omp.py |
OrthogonalMatchingPursuitCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_omp.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_passive_aggressive.py |
PassiveAggressiveClassifier.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_passive_aggressive.py |
PassiveAggressiveClassifier.partial_fit |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_passive_aggressive.py |
PassiveAggressiveClassifier.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_passive_aggressive.py |
PassiveAggressiveRegressor.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_passive_aggressive.py |
PassiveAggressiveRegressor.partial_fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_passive_aggressive.py |
PassiveAggressiveRegressor.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_passive_aggressive.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_perceptron.py |
Perceptron.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_perceptron.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_quantile.py |
print_coverage |
6 |
6 |
0 |
2 |
0 |
0% |
| sklearn/linear_model/_quantile.py |
QuantileRegressor.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_quantile.py |
QuantileRegressor.fit |
70 |
5 |
0 |
24 |
2 |
93% |
| sklearn/linear_model/_quantile.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ransac.py |
_dynamic_max_trials |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ransac.py |
RANSACRegressor.__init__ |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ransac.py |
RANSACRegressor.fit |
111 |
1 |
0 |
60 |
3 |
96% |
| sklearn/linear_model/_ransac.py |
RANSACRegressor.predict |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ransac.py |
RANSACRegressor.score |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ransac.py |
RANSACRegressor.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ransac.py |
RANSACRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ransac.py |
(no function) |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_get_rescaled_operator |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_get_rescaled_operator.matvec |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_get_rescaled_operator.rmatvec |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_solve_sparse_cg |
29 |
1 |
0 |
14 |
1 |
95% |
| sklearn/linear_model/_ridge.py |
_solve_sparse_cg.create_mv |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_solve_sparse_cg.create_mv._mv |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_solve_lsqr |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_solve_cholesky |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_solve_cholesky_kernel |
30 |
1 |
0 |
12 |
1 |
95% |
| sklearn/linear_model/_ridge.py |
_solve_svd |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_solve_lbfgs |
22 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_solve_lbfgs.func |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_get_valid_accept_sparse |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
ridge_regression |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_ridge_regression |
91 |
7 |
0 |
58 |
5 |
92% |
| sklearn/linear_model/_ridge.py |
resolve_solver |
12 |
6 |
0 |
8 |
1 |
45% |
| sklearn/linear_model/_ridge.py |
resolve_solver_for_numpy |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_BaseRidge.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_BaseRidge.fit |
29 |
1 |
0 |
20 |
1 |
96% |
| sklearn/linear_model/_ridge.py |
Ridge.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
Ridge.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
Ridge._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeClassifierMixin._prepare_data |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeClassifierMixin.predict |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeClassifierMixin.classes_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeClassifierMixin._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
RidgeClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
RidgeClassifier.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_check_gcv_mode |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_find_smallest_angle |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_X_CenterStackOp.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_X_CenterStackOp._matvec |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_X_CenterStackOp._matmat |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_X_CenterStackOp._transpose |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_XT_CenterStackOp.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_XT_CenterStackOp._matvec |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_XT_CenterStackOp._matmat |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_IdentityRegressor.decision_function |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/linear_model/_ridge.py |
_IdentityRegressor.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_IdentityClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_IdentityClassifier.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._decomp_diag |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._diag_dot |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._compute_gram |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._compute_covariance |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._sparse_multidot_diag |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._eigen_decompose_gram |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._solve_eigen_gram |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._eigen_decompose_covariance |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._solve_eigen_covariance_no_intercept |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._solve_eigen_covariance_intercept |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._solve_eigen_covariance |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._svd_decompose_design_matrix |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._solve_svd_design_matrix |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV.fit |
68 |
0 |
0 |
34 |
1 |
99% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._get_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._score_without_scorer |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_RidgeGCV._score |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_BaseRidgeCV.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_BaseRidgeCV.fit |
55 |
0 |
0 |
32 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_BaseRidgeCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_BaseRidgeCV._get_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
_BaseRidgeCV.cv_values_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
RidgeCV.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
RidgeClassifierCV.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
RidgeClassifierCV.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
RidgeClassifierCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_ridge.py |
(no function) |
115 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_sag.py |
get_auto_step_size |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_sag.py |
sag_solver |
53 |
5 |
0 |
30 |
3 |
90% |
| sklearn/linear_model/_sag.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
_ValidationScoreCallback.__init__ |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
_ValidationScoreCallback.__call__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD.__init__ |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD.fit |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD._more_validate_params |
8 |
2 |
0 |
6 |
2 |
71% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD._get_loss_function |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD._get_learning_rate_type |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD._get_penalty_type |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD._allocate_parameter_mem |
37 |
0 |
0 |
26 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD._make_validation_split |
15 |
1 |
0 |
8 |
1 |
91% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD._make_validation_score_cb |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGD.loss_function_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
_prepare_fit_binary |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
fit_binary |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
_get_plain_sgd_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDClassifier.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDClassifier._partial_fit |
23 |
1 |
0 |
14 |
1 |
95% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDClassifier._fit |
23 |
0 |
0 |
14 |
2 |
95% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDClassifier._fit_binary |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDClassifier._fit_multiclass |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDClassifier.partial_fit |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDClassifier._check_proba |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDClassifier.predict_proba |
24 |
1 |
0 |
10 |
1 |
94% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDClassifier.predict_log_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor._partial_fit |
15 |
2 |
0 |
8 |
1 |
87% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor.partial_fit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor._fit |
14 |
0 |
0 |
10 |
2 |
92% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor._decision_function |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
BaseSGDRegressor._fit_regressor |
32 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM._fit_one_class |
34 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM._partial_fit |
19 |
3 |
0 |
12 |
2 |
84% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM.partial_fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM._fit |
14 |
0 |
0 |
10 |
2 |
92% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM.decision_function |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM.score_samples |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
SGDOneClassSVM._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_stochastic_gradient.py |
(no function) |
96 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_theil_sen.py |
_modified_weiszfeld_step |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_theil_sen.py |
_spatial_median |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/_theil_sen.py |
_breakdown_point |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_theil_sen.py |
_lstsq |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/_theil_sen.py |
TheilSenRegressor.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/_theil_sen.py |
TheilSenRegressor._check_subparams |
17 |
0 |
0 |
12 |
1 |
97% |
| sklearn/linear_model/_theil_sen.py |
TheilSenRegressor.fit |
27 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/_theil_sen.py |
(no function) |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_sample_weights |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_raises_value_error_if_positive_and_sparse |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_raises_value_error_if_sample_weights_greater_than_1d |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_fit_intercept |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_sparse |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_sparse_equal_dense |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_multiple_outcome |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_sparse_multiple_outcome |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_positive |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_positive_multiple_outcome |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_positive_vs_nonpositive |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_positive_vs_nonpositive_when_positive |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_inplace_data_preprocessing |
27 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_pd_sparse_dataframe_warning |
17 |
0 |
0 |
8 |
1 |
96% |
| sklearn/linear_model/tests/test_base.py |
test_preprocess_data |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_preprocess_data_multioutput |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_preprocess_data_weighted |
28 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_sparse_preprocess_data_offsets |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_csr_preprocess_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_preprocess_copy_data_no_checks |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_dtype_preprocess_data |
43 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_rescale_data |
27 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_fused_types_make_dataset |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
test_linear_regression_sample_weight_consistency |
55 |
0 |
0 |
22 |
0 |
100% |
| sklearn/linear_model/tests/test_base.py |
(no function) |
55 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_bayesian_ridge_scores |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_bayesian_ridge_score_values |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_bayesian_ridge_parameter |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_bayesian_sample_weights |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_toy_bayesian_ridge_object |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_bayesian_initial_params |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_prediction_bayesian_ridge_ard_with_constant_input |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_std_bayesian_ridge_ard_with_constant_input |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_update_of_sigma_in_ard |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_toy_ard_object |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_ard_accuracy_on_easy_problem |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_return_std |
21 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_return_std.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_return_std.f_noise |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_update_sigma |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_dtype_match |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
test_dtype_correctness |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_bayes.py |
(no function) |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_common.py |
test_balance_property |
29 |
0 |
0 |
18 |
0 |
100% |
| sklearn/linear_model/tests/test_common.py |
(no function) |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_set_order_dense |
12 |
0 |
0 |
6 |
1 |
94% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_set_order_sparse |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_zero |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_nonfinite_params |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_toy |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_toy |
33 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_dual_gap |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
build_dataset |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_cv |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_cv_with_some_model_selection |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_cv_positive_constraint |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lassocv_alphas_validation |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
_scale_alpha_inplace |
16 |
16 |
0 |
14 |
0 |
0% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_model_pipeline_same_dense_and_sparse |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_path_return_models_vs_new_return_gives_same_coefficients |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_path |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_path_parameters |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_warm_start |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_alpha_warning |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_positive_constraint |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_positive_constraint |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_cv_positive_constraint |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_uniform_targets |
24 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multi_task_lasso_and_enet |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_readonly_data |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multi_task_lasso_readonly_data |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_multitarget |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multioutput_enetcv_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multitask_enet_and_lasso_cv |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_1d_multioutput_enet_and_multitask_enet_cv |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_1d_multioutput_lasso_and_multitask_lasso_cv |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_sparse_input_dtype_enet_and_lassocv |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_elasticnet_precompute_incorrect_gram |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_elasticnet_precompute_gram_weighted_samples |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_elasticnet_precompute_gram |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_warm_start_convergence |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_warm_start_convergence_with_regularizer_decrement |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_random_descent |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_path_positive |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_sparse_dense_descent_paths |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_path_unknown_parameter |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_check_input_false |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_copy_X_True |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_copy_X_False_check_input_False |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_overrided_gram_matrix |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lasso_non_float_y |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_float_precision |
26 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_l1_ratio |
25 |
0 |
0 |
10 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_coef_shape_not_zero |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_warm_start_multitask_lasso |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_coordinate_descent |
10 |
0 |
0 |
4 |
1 |
93% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_convergence_warnings |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_sparse_input_convergence_warning |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lassoCV_does_not_set_precompute |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_lassoCV_does_not_set_precompute.LassoMock.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multi_task_lasso_cv_dtype |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_sample_weight_consistency |
51 |
0 |
0 |
18 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_cv_sample_weight_correctness |
32 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_cv_grid_search |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_cv_sample_weight_consistency |
29 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_linear_models_cv_fit_with_loky |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_sample_weight_does_not_overwrite_sample_weight |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_enet_ridge_consistency |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_sample_weight_invariance |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_read_only_buffer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_cv_estimators_reject_params_with_no_routing_enabled |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multitask_cv_estimators_with_sample_weight |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multitask_cv_estimators_with_sample_weight.CVSplitter.get_n_splits |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
test_multitask_cv_estimators_with_sample_weight.CVSplitterSampleWeight.split |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_coordinate_descent.py |
(no function) |
123 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
make_regression_with_outliers |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_equals_lr_for_high_epsilon |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_max_iter |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_gradient |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_gradient.loss_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_gradient.grad_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_sample_weights |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_sparse |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_scaling_invariant |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_and_sgd_same_results |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_warm_start |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_better_r2_score |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
test_huber_bool |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_huber.py |
(no function) |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_simple |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_simple_precomputed |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
_assert_same_lars_path_result |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_path_gram_equivalent |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_x_none_gram_none_raises_value_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_all_precomputed |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_lstsq |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_gives_lstsq_solution |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_collinearity |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_no_path |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_no_path_precomputed |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_no_path_all_precomputed |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_precompute |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_singular_matrix |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_rank_deficient_design |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_vs_lasso_cd |
27 |
0 |
0 |
10 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_vs_lasso_cd_early_stopping |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_path_length |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_vs_lasso_cd_ill_conditioned |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_vs_lasso_cd_ill_conditioned2 |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_vs_lasso_cd_ill_conditioned2.objective_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_add_features |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_n_nonzero_coefs |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_multitarget |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_cv |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_cv_max_iter |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_ic |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_path_readonly_data |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_path_positive_constraint |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_estimatorclasses_positive_constraint |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_vs_lasso_cd_positive |
24 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_vs_R_implementation |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_copyX_behaviour |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lasso_lars_fit_copyX_behaviour |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_with_jitter |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_X_none_gram_not_none |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_copy_X_with_auto_gram |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_dtype_match |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lars_numeric_consistency |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lassolarsic_alpha_selection |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
test_lassolarsic_noise_variance |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_least_angle.py |
(no function) |
74 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
random_X_y_coef |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
random_X_y_coef.choice_vectorized |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
test_init_zero_coef |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
test_loss_grad_hess_are_the_same |
34 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
test_loss_gradients_hessp_intercept |
24 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
test_gradients_hessians_numerically |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
test_multinomial_coef_shape |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_linear_loss.py |
(no function) |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
check_predictions |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_predict_2_classes |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_cv_mock_scorer |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_cv_mock_scorer.MockScorer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_cv_mock_scorer.MockScorer.__call__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_lr_liblinear_warning |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_predict_3_classes |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_predict_iris |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_check_solver_option |
26 |
0 |
0 |
20 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_elasticnet_l1_ratio_err_helpful |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_multinomial_binary |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_multinomial_binary_probabilities |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_sparsify |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_inconsistent_input |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_write_parameters |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_nan |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_consistency_path |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_path_convergence_fail |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_liblinear_dual_random_state |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_cv |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_cv_multinomial_score |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_multinomial_logistic_regression_string_inputs |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_cv_sparse |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_ovr_multinomial_iris |
37 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_solvers |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_solvers_multiclass |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regressioncv_class_weights |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_sample_weights |
35 |
0 |
0 |
12 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
_compute_class_weight_dictionary |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_class_weights |
28 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_multinomial |
25 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_liblinear_decision_function_zero |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_liblinear_logregcv_sparse |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_saga_sparse |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logreg_intercept_scaling_zero |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logreg_l1 |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logreg_l1_sparse_data |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_cv_refit |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logreg_predict_proba_multinomial |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_max_iter |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_n_iter |
25 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_warm_start |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_saga_vs_liblinear |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_dtype_match |
31 |
1 |
0 |
6 |
1 |
95% |
| sklearn/linear_model/tests/test_logistic.py |
test_warm_start_converge_LR |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_elastic_net_coeffs |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_elastic_net_l1_l2_equivalence |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_elastic_net_vs_l1_l2 |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_LogisticRegression_elastic_net_objective |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_LogisticRegression_elastic_net_objective.enet_objective |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_LogisticRegressionCV_GridSearchCV_elastic_net |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_LogisticRegressionCV_GridSearchCV_elastic_net_ovr |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_LogisticRegressionCV_no_refit |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_LogisticRegressionCV_elasticnet_attribute_shapes |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_l1_ratio_non_elasticnet |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_elastic_net_versus_sgd |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_path_coefs_multinomial |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_multi_class_auto |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logistic_regression_multi_class_auto.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_penalty_none |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_logisticregression_liblinear_sample_weight |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_scores_attribute_layout_elasticnet |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_multinomial_identifiability_on_iris |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_sample_weight_not_modified |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_large_sparse_matrix |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_single_feature_newton_cg |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_liblinear_not_stuck |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_lr_cv_scores_differ_when_sample_weight_is_requested |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_lr_cv_scores_without_enabling_metadata_routing |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_zero_max_iter |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_passing_params_without_enabling_metadata_routing |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
test_multi_class_deprecated |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_logistic.py |
(no function) |
164 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_correct_shapes |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_correct_shapes_gram |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_n_nonzero_coefs |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_tol |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_with_without_gram |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_with_without_gram_tol |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_unreachable_accuracy |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_bad_input |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_perfect_signal_recovery |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_orthogonal_mp_gram_readonly |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_estimator |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_estimator_n_nonzero_coefs |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_identical_regressors |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_swapped_regressors |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_no_atoms |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_omp_path |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_omp_return_path_prop_with_gram |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_omp_cv |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_omp_reaches_least_squares |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_omp_gram_dtype_match |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
test_omp_gram_numerical_consistency |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_omp.py |
(no function) |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
MyPassiveAggressive.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
MyPassiveAggressive.fit |
20 |
0 |
0 |
14 |
2 |
94% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
MyPassiveAggressive.project |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_classifier_accuracy |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_classifier_partial_fit |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_classifier_refit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_classifier_correctness |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_classifier_undefined_methods |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_class_weights |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_partial_fit_weight_class_balanced |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_equal_class_weight |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_wrong_class_weight_label |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_regressor_mse |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_regressor_partial_fit |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_regressor_correctness |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_regressor_undefined_methods |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
test_passive_aggressive_deprecated_average |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_passive_aggressive.py |
(no function) |
48 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
MyPerceptron.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
MyPerceptron.fit |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
MyPerceptron.project |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
MyPerceptron.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
test_perceptron_accuracy |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
test_perceptron_correctness |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
test_undefined_methods |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
test_perceptron_l1_ratio |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_perceptron.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
X_y_data |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
default_solver |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_solver_does_not_support_sparse_input |
8 |
1 |
0 |
0 |
0 |
88% |
| sklearn/linear_model/tests/test_quantile.py |
test_zero_sample_weights |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_all_solvers |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_error_interior_point_future |
7 |
5 |
0 |
0 |
0 |
29% |
| sklearn/linear_model/tests/test_quantile.py |
test_incompatible_solver_for_sparse_input |
5 |
1 |
0 |
2 |
0 |
57% |
| sklearn/linear_model/tests/test_quantile.py |
test_too_new_solver_methods_raise_error |
3 |
0 |
0 |
2 |
1 |
80% |
| sklearn/linear_model/tests/test_quantile.py |
test_quantile_toy_example |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_quantile_equals_huber_for_low_epsilon |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_quantile_estimates_calibration |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_quantile_sample_weight |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_asymmetric_error |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_asymmetric_error.func |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_equivariance |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_linprog_failure |
6 |
4 |
0 |
2 |
0 |
25% |
| sklearn/linear_model/tests/test_quantile.py |
test_sparse_input |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
test_error_interior_point_future |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_quantile.py |
(no function) |
49 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_inliers_outliers |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_is_data_valid |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_is_data_valid.is_data_valid |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_is_model_valid |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_is_model_valid.is_model_valid |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_max_trials |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_stop_n_inliers |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_stop_score |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_score |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_predict |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_no_valid_data |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_no_valid_data.is_data_valid |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_no_valid_model |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_no_valid_model.is_model_valid |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_exceed_max_skips |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_exceed_max_skips.is_data_valid |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_warn_exceed_max_skips |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_warn_exceed_max_skips.is_data_valid |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_sparse |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_none_estimator |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_min_n_samples |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_multi_dimensional_targets |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_residual_loss |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_residual_loss.loss_multi1 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_residual_loss.loss_multi2 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_residual_loss.loss_mono |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_default_residual_threshold |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_dynamic_max_trials |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_fit_sample_weight |
29 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_ransac_final_model_fit_sample_weight |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
test_perfect_horizontal_line |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ransac.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_accuracy_callable |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_mean_squared_error_callable |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
ols_ridge_dataset |
25 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression |
23 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_hstacked_X |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_vstacked_X |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_unpenalized |
20 |
2 |
0 |
4 |
0 |
92% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_unpenalized_hstacked_X |
22 |
2 |
0 |
6 |
0 |
93% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_unpenalized_vstacked_X |
21 |
2 |
0 |
4 |
0 |
92% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_sample_weights |
24 |
0 |
0 |
10 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_primal_dual_relationship |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_convergence_fail |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_shapes_type |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_intercept |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_vs_lstsq |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_individual_penalties |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_X_CenterStackOp |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_compute_gram |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_compute_covariance |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_make_sparse_offset_regression |
17 |
3 |
0 |
8 |
3 |
76% |
| sklearn/linear_model/tests/test_ridge.py |
test_solver_consistency |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_gcv_vs_ridge_loo_cv |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_loo_cv_asym_scoring |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_gcv_sample_weights |
30 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_check_gcv_mode_choice |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_test_ridge_loo |
33 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_test_ridge_loo.func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_test_ridge_cv |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_gcv_cv_results_not_stored |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_best_score |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_cv_individual_penalties |
31 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_test_ridge_diabetes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_test_multi_ridge_diabetes |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_test_ridge_classifiers |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_classifier_with_scoring |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_custom_scoring |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_custom_scoring._dummy_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
_test_tolerance |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
check_array_api_attributes |
18 |
17 |
0 |
2 |
0 |
5% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_array_api_compliance |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_array_api_error_and_warnings_for_solver_parameter |
20 |
19 |
0 |
14 |
0 |
3% |
| sklearn/linear_model/tests/test_ridge.py |
test_array_api_numpy_namespace_no_warning |
11 |
10 |
0 |
6 |
0 |
6% |
| sklearn/linear_model/tests/test_ridge.py |
test_dense_sparse |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_class_weights |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_class_weight_vs_sample_weight |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_class_weights_cv |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgecv_store_cv_results |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_classifier_cv_store_cv_results |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgecv_alphas_conversion |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgecv_alphas_zero |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgecv_sample_weight |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_raises_value_error_if_sample_weights_greater_than_1d |
23 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_raises_value_error_if_sample_weights_greater_than_1d.fit_ridge_not_ok |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_raises_value_error_if_sample_weights_greater_than_1d.fit_ridge_not_ok_2 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_sparse_design_with_sample_weights |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgecv_int_alphas |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgecv_alphas_validation |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgecv_alphas_scalar |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_sparse_cg_max_iter |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_n_iter |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_fit_intercept_sparse |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_fit_intercept_sparse_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_fit_intercept_sparse_sag |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_check_arguments_validity |
22 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_dtype_match |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_dtype_match_cholesky |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_regression_dtype_stability |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_sag_with_X_fortran |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridgeclassifier_multilabel |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_positive_regression_test |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_ground_truth_positive_test |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_positive_error_test |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_positive_ridge_loss |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_positive_ridge_loss.ridge_loss |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_lbfgs_solver_consistency |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_lbfgs_solver_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_sample_weight_consistency |
55 |
0 |
0 |
26 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_store_cv_values_deprecated |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_ridge_cv_values_deprecated |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
test_metadata_routing_with_default_scoring |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_ridge.py |
(no function) |
201 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
log_dloss |
6 |
2 |
0 |
4 |
2 |
60% |
| sklearn/linear_model/tests/test_sag.py |
log_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
squared_dloss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
squared_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
get_pobj |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
sag |
37 |
2 |
0 |
14 |
3 |
90% |
| sklearn/linear_model/tests/test_sag.py |
sag_sparse |
66 |
3 |
0 |
36 |
4 |
93% |
| sklearn/linear_model/tests/test_sag.py |
get_step_size |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_classifier_matching |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_regressor_matching |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_sag_pobj_matches_logistic_regression |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_sag_pobj_matches_ridge_regression |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_sag_regressor_computed_correctly |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_get_auto_step_size |
25 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_sag_regressor |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_sag_classifier_computed_correctly |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_sag_multiclass_computed_correctly |
34 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_classifier_results |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_binary_classifier_class_weight |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_classifier_single_class |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_step_size_alpha_error |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_multinomial_loss |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_multinomial_loss_ground_truth |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
test_sag_classifier_raises_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sag.py |
(no function) |
60 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_update_kwargs |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDClassifier.partial_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDClassifier.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDClassifier.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDRegressor.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDRegressor.partial_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDRegressor.decision_function |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDOneClassSVM.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDOneClassSVM.partial_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_SparseSGDOneClassSVM.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
SGDClassifier |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
SGDRegressor |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
SGDOneClassSVM |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
SparseSGDClassifier |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
SparseSGDRegressor |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
SparseSGDOneClassSVM |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
asgd |
23 |
0 |
0 |
6 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_test_warm_start |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_warm_start |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_input_format |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_clone |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_plain_has_no_average_attr |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_late_onset_averaging_not_reached |
13 |
0 |
0 |
8 |
1 |
95% |
| sklearn/linear_model/tests/test_sgd.py |
test_late_onset_averaging_reached |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_early_stopping |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_adaptive_longer_than_constant |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_validation_set_not_used_for_training |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_n_iter_no_change |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_not_enough_sample_for_early_stopping |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_clf |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_provide_coef |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_set_intercept_offset |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_early_stopping_with_partial_fit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_set_intercept_offset_binary |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_average_binary_computed_correctly |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_set_intercept_to_intercept |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_at_least_two_labels |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_weight_class_balanced |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_multiclass |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_multiclass_average |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_multiclass_with_init_coef |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_multiclass_njobs |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_set_coef_multiclass |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_predict_proba_method_access |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_proba |
42 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_l1 |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_class_weights |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_equal_class_weight |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_wrong_class_weight_label |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_weights_multiplied |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_balanced_weight |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sample_weights |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_wrong_sample_weights |
6 |
0 |
0 |
6 |
1 |
92% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_exception |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_binary |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_multiclass |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_multiclass_average |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_fit_then_partial_fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_equal_fit_classif |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_regression_losses |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_warm_start_multiclass |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_multiple_fit |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_reg |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_averaged_computed_correctly |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_averaged_partial_fit |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_average_sparse |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_least_squares_fit |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_epsilon_insensitive |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_huber_fit |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_elasticnet_convergence |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_equal_fit |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_function_epsilon |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
asgd_oneclass |
26 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_test_warm_start_oneclass |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_warm_start_oneclass |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_clone_oneclass |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_oneclass |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_partial_fit_equal_fit_oneclass |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_late_onset_averaging_reached_oneclass |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_averaged_computed_correctly_oneclass |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_averaged_partial_fit_oneclass |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_average_sparse_oneclass |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_oneclass |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_ocsvm_vs_sgdocsvm |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_l1_ratio |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_underflow_or_overlow |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_numerical_stability_large_gradient |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_large_regularization |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_tol_parameter |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
_test_loss_common |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_hinge |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_gradient_squared_hinge |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_log |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_squared_loss |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_huber |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_modified_huber |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_epsilon_insensitive |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_squared_epsilon_insensitive |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_multi_thread_multi_class_and_early_stopping |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_multi_core_gridsearch_and_early_stopping |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_SGDClassifier_fit_for_all_backends |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_random_state |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_validation_mask_correctly_subsets |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_error_on_zero_validation_weight |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_verbose |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_dtype_match |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_sgd_numerical_consistency |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_loss_attribute_deprecation |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
test_passive_aggressive_deprecated_average |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sgd.py |
(no function) |
226 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_sparse_coef |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_lasso_zero |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_enet_toy_list_input |
25 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_enet_toy_explicit_sparse_input |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
make_sparse_data |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_sparse_enet_not_as_toy_dataset |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_sparse_lasso_not_as_toy_dataset |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_enet_multitarget |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_path_parameters |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_sparse_dense_equality |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_same_output_sparse_dense_lasso_and_enet_cv |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_same_multiple_output_sparse_dense |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_sparse_enet_coordinate_descent |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
test_sparse_read_only_buffer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_sparse_coordinate_descent.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
no_stdout_stderr |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
gen_toy_problem_1d |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
gen_toy_problem_2d |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
gen_toy_problem_4d |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_modweiszfeld_step_1d |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_modweiszfeld_step_2d |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_spatial_median_1d |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_spatial_median_2d |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_spatial_median_2d.cost_func |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_theil_sen_1d |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_theil_sen_1d_no_intercept |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_theil_sen_2d |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_calc_breakdown_point |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_checksubparams_invalid_input |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_checksubparams_n_subsamples_if_less_samples_than_features |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_subpopulation |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_subsamples |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_verbosity |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_theil_sen_parallel |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_less_samples_than_features |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
test_copy_X_deprecated |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/linear_model/tests/test_theil_sen.py |
(no function) |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/__init__.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_isomap.py |
Isomap.__init__ |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_isomap.py |
Isomap._fit_transform |
24 |
0 |
0 |
12 |
0 |
100% |
| sklearn/manifold/_isomap.py |
Isomap.reconstruction_error |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_isomap.py |
Isomap.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_isomap.py |
Isomap.fit_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_isomap.py |
Isomap.transform |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/manifold/_isomap.py |
Isomap._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_isomap.py |
(no function) |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
barycenter_weights |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
barycenter_kneighbors_graph |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
null_space |
18 |
2 |
0 |
10 |
2 |
86% |
| sklearn/manifold/_locally_linear.py |
_locally_linear_embedding |
122 |
14 |
0 |
46 |
8 |
86% |
| sklearn/manifold/_locally_linear.py |
locally_linear_embedding |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
LocallyLinearEmbedding.__init__ |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
LocallyLinearEmbedding._fit_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
LocallyLinearEmbedding.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
LocallyLinearEmbedding.fit_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
LocallyLinearEmbedding.transform |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/_locally_linear.py |
(no function) |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_mds.py |
_smacof_single |
43 |
2 |
0 |
18 |
2 |
93% |
| sklearn/manifold/_mds.py |
smacof |
29 |
2 |
0 |
18 |
1 |
94% |
| sklearn/manifold/_mds.py |
MDS.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_mds.py |
MDS._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_mds.py |
MDS.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_mds.py |
MDS.fit_transform |
9 |
1 |
0 |
6 |
2 |
80% |
| sklearn/manifold/_mds.py |
(no function) |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
_graph_connected_component |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
_graph_is_connected |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
_set_diag |
13 |
0 |
0 |
8 |
1 |
95% |
| sklearn/manifold/_spectral_embedding.py |
spectral_embedding |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
_spectral_embedding |
74 |
8 |
0 |
36 |
6 |
87% |
| sklearn/manifold/_spectral_embedding.py |
SpectralEmbedding.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
SpectralEmbedding._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
SpectralEmbedding._get_affinity_matrix |
22 |
0 |
0 |
10 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
SpectralEmbedding.fit |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
SpectralEmbedding.fit_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_spectral_embedding.py |
(no function) |
30 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
_joint_probabilities |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
_joint_probabilities_nn |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
_kl_divergence |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
_kl_divergence_bh |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
_gradient_descent |
42 |
0 |
0 |
20 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
trustworthiness |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
TSNE.__init__ |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
TSNE._check_params_vs_input |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
TSNE._fit |
67 |
0 |
0 |
40 |
1 |
99% |
| sklearn/manifold/_t_sne.py |
TSNE._tsne |
26 |
0 |
0 |
8 |
1 |
97% |
| sklearn/manifold/_t_sne.py |
TSNE.fit_transform |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
TSNE.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
TSNE._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
TSNE._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/_t_sne.py |
(no function) |
39 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
create_sample_data |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_isomap_simple_grid |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_isomap_reconstruction_error |
19 |
1 |
0 |
6 |
1 |
92% |
| sklearn/manifold/tests/test_isomap.py |
test_transform |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_pipeline |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_pipeline_with_nearest_neighbors_transformer |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_different_metric |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_isomap_clone_bug |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_sparse_input |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_isomap_fit_precomputed_radius_graph |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_isomap_fitted_attributes_dtype |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_isomap_dtype_equivalence |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_isomap_raise_error_when_neighbor_and_radius_both_set |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_multiple_connected_components |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_multiple_connected_components_metric_precomputed |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
test_get_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_isomap.py |
(no function) |
40 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
test_barycenter_kneighbors_graph |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
test_lle_simple_grid |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
test_lle_manifold |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
test_pipeline |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
test_singular_matrix |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
test_integer_input |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
test_get_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_locally_linear.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_mds.py |
test_smacof |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_mds.py |
test_smacof_error |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/manifold/tests/test_mds.py |
test_MDS |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_mds.py |
test_normed_stress |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_mds.py |
test_normalize_metric_warning |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_mds.py |
test_normalized_stress_auto |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_mds.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
_assert_equal_with_sign_flipping |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_sparse_graph_connected_component |
25 |
0 |
0 |
6 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_two_components |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_precomputed_affinity |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_precomputed_nearest_neighbors_filtering |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_callable_affinity |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_amg_solver |
23 |
3 |
0 |
4 |
1 |
78% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_amg_solver_failure |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_pipeline_spectral_clustering |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_connectivity |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_deterministic |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_unnormalized |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_first_eigen_vector |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_embedding_preserves_dtype |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_error_pyamg_not_available |
4 |
4 |
0 |
2 |
0 |
0% |
| sklearn/manifold/tests/test_spectral_embedding.py |
test_spectral_eigen_tol_auto |
15 |
1 |
0 |
4 |
1 |
89% |
| sklearn/manifold/tests/test_spectral_embedding.py |
(no function) |
70 |
2 |
0 |
0 |
0 |
97% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient_descent_stops |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient_descent_stops.ObjectiveSmallGradient.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient_descent_stops.ObjectiveSmallGradient.__call__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient_descent_stops.flat_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_binary_search |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_binary_search_underflow |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_binary_search_neighbors |
28 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_binary_perplexity_stability |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient.fun |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient.grad |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_trustworthiness |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_trustworthiness_n_neighbors_error |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_preserve_trustworthiness_approximately |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_optimization_minimizes_kl_divergence |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_fit_transform_csr_matrix |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_preserve_trustworthiness_approximately_with_precomputed_distances |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_trustworthiness_not_euclidean_metric |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_bad_precomputed_distances |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_exact_no_precomputed_sparse |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_high_perplexity_precomputed_sparse_distances |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_sparse_precomputed_distance |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_non_positive_computed_distances |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_non_positive_computed_distances.metric |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_init_ndarray |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_init_ndarray_precomputed |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_pca_initialization_not_compatible_with_precomputed_kernel |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_pca_initialization_not_compatible_with_sparse_input |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_n_components_range |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_early_exaggeration_used |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_max_iter_used |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_answer_gradient_two_points |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_answer_gradient_four_points |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_skip_num_points_gradient |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
_run_answer_test |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_verbose |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_chebyshev_metric |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_reduction_to_one_component |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_64bit |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_kl_divergence_not_nan |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_barnes_hut_angle |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_n_iter_without_progress |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_min_grad_norm |
24 |
0 |
0 |
6 |
1 |
97% |
| sklearn/manifold/tests/test_t_sne.py |
test_accessible_kl_divergence |
17 |
0 |
0 |
6 |
1 |
96% |
| sklearn/manifold/tests/test_t_sne.py |
test_uniform_grid |
13 |
5 |
0 |
2 |
0 |
67% |
| sklearn/manifold/tests/test_t_sne.py |
assert_uniform_grid |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_bh_match_exact |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_gradient_bh_multithread_match_sequential |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_tsne_with_different_distance_metrics |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_tsne_n_jobs |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_tsne_with_mahalanobis_distance |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_tsne_perplexity_validation |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_tsne_works_with_pandas_output |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_tnse_n_iter_deprecated |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
test_tnse_n_iter_max_iter_both_set |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/manifold/tests/test_t_sne.py |
(no function) |
94 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/__init__.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_base.py |
_average_binary_score |
45 |
0 |
0 |
28 |
0 |
100% |
| sklearn/metrics/_base.py |
_average_multiclass_ovo_score |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_base.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_classification.py |
_check_zero_division |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_classification.py |
_check_targets |
27 |
0 |
0 |
14 |
0 |
100% |
| sklearn/metrics/_classification.py |
accuracy_score |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_classification.py |
confusion_matrix |
43 |
0 |
0 |
34 |
0 |
100% |
| sklearn/metrics/_classification.py |
multilabel_confusion_matrix |
64 |
1 |
0 |
32 |
1 |
98% |
| sklearn/metrics/_classification.py |
cohen_kappa_score |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_classification.py |
jaccard_score |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/_classification.py |
matthews_corrcoef |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_classification.py |
zero_one_loss |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_classification.py |
f1_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_classification.py |
fbeta_score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_classification.py |
_prf_divide |
13 |
0 |
0 |
6 |
1 |
95% |
| sklearn/metrics/_classification.py |
_warn_prf |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_classification.py |
_check_set_wise_labels |
18 |
1 |
0 |
14 |
1 |
94% |
| sklearn/metrics/_classification.py |
precision_recall_fscore_support |
32 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/_classification.py |
class_likelihood_ratios |
38 |
0 |
0 |
20 |
4 |
93% |
| sklearn/metrics/_classification.py |
precision_score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_classification.py |
recall_score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_classification.py |
balanced_accuracy_score |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_classification.py |
classification_report |
50 |
0 |
0 |
38 |
0 |
100% |
| sklearn/metrics/_classification.py |
hamming_loss |
11 |
1 |
0 |
6 |
1 |
88% |
| sklearn/metrics/_classification.py |
log_loss |
29 |
0 |
0 |
18 |
0 |
100% |
| sklearn/metrics/_classification.py |
hinge_loss |
31 |
2 |
0 |
10 |
0 |
95% |
| sklearn/metrics/_classification.py |
brier_score_loss |
26 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/_classification.py |
d2_log_loss_score |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_classification.py |
(no function) |
59 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/__init__.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
sqeuclidean_row_norms |
5 |
1 |
0 |
4 |
1 |
78% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
BaseDistancesReductionDispatcher.valid_metrics |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
BaseDistancesReductionDispatcher.is_usable_for |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
BaseDistancesReductionDispatcher.is_usable_for.is_numpy_c_ordered |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
BaseDistancesReductionDispatcher.is_usable_for.is_valid_sparse_matrix |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
BaseDistancesReductionDispatcher.compute |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
ArgKmin.compute |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
RadiusNeighbors.compute |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
ArgKminClassMode.valid_metrics |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
ArgKminClassMode.compute |
7 |
1 |
0 |
6 |
1 |
85% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
RadiusNeighborsClassMode.valid_metrics |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
RadiusNeighborsClassMode.compute |
7 |
1 |
0 |
6 |
1 |
85% |
| sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py |
(no function) |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/confusion_matrix.py |
ConfusionMatrixDisplay.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/confusion_matrix.py |
ConfusionMatrixDisplay.plot |
40 |
1 |
0 |
16 |
2 |
95% |
| sklearn/metrics/_plot/confusion_matrix.py |
ConfusionMatrixDisplay.from_estimator |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/confusion_matrix.py |
ConfusionMatrixDisplay.from_predictions |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_plot/confusion_matrix.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/det_curve.py |
DetCurveDisplay.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/det_curve.py |
DetCurveDisplay.from_estimator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/det_curve.py |
DetCurveDisplay.from_predictions |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/det_curve.py |
DetCurveDisplay.plot |
20 |
0 |
0 |
4 |
1 |
96% |
| sklearn/metrics/_plot/det_curve.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/precision_recall_curve.py |
PrecisionRecallDisplay.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/precision_recall_curve.py |
PrecisionRecallDisplay.plot |
25 |
0 |
0 |
14 |
0 |
100% |
| sklearn/metrics/_plot/precision_recall_curve.py |
PrecisionRecallDisplay.from_estimator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/precision_recall_curve.py |
PrecisionRecallDisplay.from_predictions |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/precision_recall_curve.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/regression.py |
PredictionErrorDisplay.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/regression.py |
PredictionErrorDisplay.plot |
32 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/_plot/regression.py |
PredictionErrorDisplay.from_estimator |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/regression.py |
PredictionErrorDisplay.from_predictions |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/_plot/regression.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/roc_curve.py |
RocCurveDisplay.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/roc_curve.py |
RocCurveDisplay.plot |
30 |
0 |
0 |
12 |
2 |
95% |
| sklearn/metrics/_plot/roc_curve.py |
RocCurveDisplay.from_estimator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/roc_curve.py |
RocCurveDisplay.from_predictions |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/roc_curve.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
data_binary |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_error_classifier |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_error_regression |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_error_no_response |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_error_no_response.MyClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_estimator_name_multiple_calls |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_not_fitted_errors |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_n_samples_consistency |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_display_curve_error_pos_label |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
test_classifier_display_curve_named_constructor_return_type |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_common_curve_display.py |
(no function) |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_display_validation |
17 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_display_custom_labels |
25 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_display_plotting |
43 |
0 |
0 |
20 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_display |
27 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_contrast |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_pipeline |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_with_unknown_labels |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_colormap_max |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_im_kw_adjust_vmin_vmax |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
test_confusion_matrix_text_kw |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_confusion_matrix_display.py |
(no function) |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_det_curve_display.py |
test_det_curve_display |
35 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_det_curve_display.py |
test_det_curve_display_default_name |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_det_curve_display.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_precision_recall_display_plotting |
29 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_precision_recall_chance_level_line |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_precision_recall_display_name |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_precision_recall_display_pipeline |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_precision_recall_display_string_labels |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_default_labels |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_plot_precision_recall_pos_label |
27 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_precision_recall_prevalence_pos_label_reusable |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
test_precision_recall_raise_no_prevalence |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_precision_recall_display.py |
(no function) |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
regressor_fitted |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
test_prediction_error_display_raise_error |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
test_from_estimator_not_fitted |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
test_prediction_error_display |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
test_plot_prediction_error_subsample |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
test_plot_prediction_error_ax |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
test_prediction_error_custom_artist |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_predict_error_display.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
data_binary |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
test_roc_curve_display_plotting |
36 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
test_roc_curve_chance_level_line |
26 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
test_roc_curve_display_complex_pipeline |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
test_roc_curve_display_default_labels |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
test_plot_roc_curve_pos_label |
26 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_plot/tests/test_roc_curve_display.py |
(no function) |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_ranking.py |
auc |
15 |
1 |
0 |
8 |
1 |
91% |
| sklearn/metrics/_ranking.py |
average_precision_score |
14 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/_ranking.py |
average_precision_score._binary_uninterpolated_average_precision |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_ranking.py |
det_curve |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_ranking.py |
_binary_roc_auc_score |
16 |
1 |
0 |
6 |
1 |
91% |
| sklearn/metrics/_ranking.py |
roc_auc_score |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_ranking.py |
_multiclass_roc_auc_score |
33 |
1 |
0 |
26 |
1 |
97% |
| sklearn/metrics/_ranking.py |
_binary_clf_curve |
30 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_ranking.py |
precision_recall_curve |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_ranking.py |
roc_curve |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_ranking.py |
label_ranking_average_precision_score |
28 |
0 |
0 |
14 |
0 |
100% |
| sklearn/metrics/_ranking.py |
coverage_error |
13 |
2 |
0 |
4 |
2 |
76% |
| sklearn/metrics/_ranking.py |
label_ranking_loss |
22 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_ranking.py |
_dcg_sample_scores |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/_ranking.py |
_tie_averaged_dcg |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_ranking.py |
_check_dcg_target_type |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/metrics/_ranking.py |
dcg_score |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_ranking.py |
_ndcg_sample_scores |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_ranking.py |
ndcg_score |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_ranking.py |
top_k_accuracy_score |
48 |
1 |
0 |
32 |
2 |
96% |
| sklearn/metrics/_ranking.py |
(no function) |
48 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_regression.py |
_check_reg_targets |
23 |
2 |
0 |
16 |
2 |
90% |
| sklearn/metrics/_regression.py |
mean_absolute_error |
14 |
0 |
0 |
6 |
1 |
95% |
| sklearn/metrics/_regression.py |
mean_pinball_loss |
11 |
0 |
0 |
4 |
1 |
93% |
| sklearn/metrics/_regression.py |
mean_absolute_percentage_error |
11 |
0 |
0 |
6 |
1 |
94% |
| sklearn/metrics/_regression.py |
mean_squared_error |
17 |
0 |
0 |
10 |
2 |
93% |
| sklearn/metrics/_regression.py |
root_mean_squared_error |
7 |
0 |
0 |
6 |
1 |
92% |
| sklearn/metrics/_regression.py |
mean_squared_log_error |
9 |
0 |
0 |
6 |
1 |
93% |
| sklearn/metrics/_regression.py |
root_mean_squared_log_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_regression.py |
median_absolute_error |
11 |
0 |
0 |
8 |
1 |
95% |
| sklearn/metrics/_regression.py |
_assemble_r2_explained_variance |
23 |
1 |
0 |
14 |
2 |
92% |
| sklearn/metrics/_regression.py |
explained_variance_score |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_regression.py |
r2_score |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_regression.py |
max_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_regression.py |
_mean_tweedie_deviance |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_regression.py |
mean_tweedie_deviance |
22 |
1 |
0 |
18 |
1 |
95% |
| sklearn/metrics/_regression.py |
mean_poisson_deviance |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_regression.py |
mean_gamma_deviance |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_regression.py |
d2_tweedie_score |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_regression.py |
d2_pinball_score |
24 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/_regression.py |
d2_absolute_error_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_regression.py |
(no function) |
47 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_cached_call |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_MultimetricScorer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_MultimetricScorer.__call__ |
17 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_MultimetricScorer.__repr__ |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_MultimetricScorer._use_cache |
6 |
0 |
0 |
7 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_MultimetricScorer.get_metadata_routing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_BaseScorer.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_BaseScorer._get_pos_label |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_BaseScorer.__repr__ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_BaseScorer.__call__ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_BaseScorer._warn_overlap |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_BaseScorer.set_score_request |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_Scorer._score |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
get_scorer |
7 |
2 |
0 |
2 |
0 |
78% |
| sklearn/metrics/_scorer.py |
_PassthroughScorer.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_PassthroughScorer.__call__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_PassthroughScorer.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_PassthroughScorer.get_metadata_routing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_PassthroughScorer.set_score_request |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/_scorer.py |
_check_multimetric_scoring |
25 |
1 |
0 |
23 |
1 |
96% |
| sklearn/metrics/_scorer.py |
_get_response_method |
19 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/_scorer.py |
make_scorer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
positive_likelihood_ratio |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
negative_likelihood_ratio |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
get_scorer_names |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/_scorer.py |
check_scoring |
16 |
0 |
0 |
14 |
1 |
97% |
| sklearn/metrics/_scorer.py |
(no function) |
90 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/__init__.py |
(no function) |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_bicluster.py |
_check_rows_and_columns |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/_bicluster.py |
_jaccard |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_bicluster.py |
_pairwise_similarity |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/_bicluster.py |
consensus_score |
7 |
0 |
0 |
2 |
1 |
89% |
| sklearn/metrics/cluster/_bicluster.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
check_clusterings |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
_generalized_average |
9 |
1 |
0 |
8 |
1 |
88% |
| sklearn/metrics/cluster/_supervised.py |
contingency_matrix |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
pair_confusion_matrix |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
rand_score |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
adjusted_rand_score |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
homogeneity_completeness_v_measure |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
homogeneity_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
completeness_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
v_measure_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
mutual_info_score |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
adjusted_mutual_info_score |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
normalized_mutual_info_score |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
fowlkes_mallows_score |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
entropy |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/_supervised.py |
(no function) |
37 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/_unsupervised.py |
check_number_of_labels |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/_unsupervised.py |
silhouette_score |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/_unsupervised.py |
_silhouette_reduce |
22 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/cluster/_unsupervised.py |
silhouette_samples |
27 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/cluster/_unsupervised.py |
calinski_harabasz_score |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/_unsupervised.py |
davies_bouldin_score |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/_unsupervised.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_bicluster.py |
test_jaccard |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_bicluster.py |
test_consensus_score |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_bicluster.py |
test_consensus_score_issue2445 |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_bicluster.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_symmetric_non_symmetric_union |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_symmetry |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_non_symmetry |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_normalized_output |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_permute_labels |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_format_invariance |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_format_invariance.generate_formats |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_single_sample |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_common.py |
test_inf_nan_input |
7 |
0 |
0 |
6 |
1 |
92% |
| sklearn/metrics/cluster/tests/test_common.py |
(no function) |
33 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_error_messages_on_wrong_input |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_generalized_average |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_perfect_matches |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_homogeneous_but_not_complete_labeling |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_complete_but_not_homogeneous_labeling |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_not_complete_and_not_homogeneous_labeling |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_beta_parameter |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_non_consecutive_labels |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
uniform_labelings_scores |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_adjustment_for_chance |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_adjusted_mutual_info_score |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_expected_mutual_info_overflow |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_int_overflow_mutual_info_fowlkes_mallows_score |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_entropy |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_contingency_matrix |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_contingency_matrix_sparse |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_exactly_zero_info_score |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_v_measure_and_mutual_information |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_fowlkes_mallows_score |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_fowlkes_mallows_score_properties |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_mutual_info_score_positive_constant_label |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_check_clustering_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_pair_confusion_matrix_fully_dispersed |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_pair_confusion_matrix_single_cluster |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_pair_confusion_matrix |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_rand_score_edge_cases |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_rand_score |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_adjusted_rand_score_overflow |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
test_normalized_mutual_info_score_bounded |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_supervised.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_silhouette |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_cluster_size_1 |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_silhouette_paper_example |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_correct_labelsize |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_non_encoded_labels |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_non_numpy_labels |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_silhouette_nonzero_diag |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_silhouette_samples_precomputed_sparse |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_silhouette_samples_euclidean_sparse |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_silhouette_reduce |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
assert_raises_on_only_one_label |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
assert_raises_on_all_points_same_cluster |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_calinski_harabasz_score |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_davies_bouldin_score |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
test_silhouette_score_integer_precomputed |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/cluster/tests/test_unsupervised.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_return_float_dtype |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/pairwise.py |
check_pairwise_arrays |
17 |
1 |
0 |
12 |
1 |
93% |
| sklearn/metrics/pairwise.py |
check_paired_arrays |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
euclidean_distances |
20 |
0 |
0 |
16 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_euclidean_distances |
21 |
0 |
0 |
14 |
0 |
100% |
| sklearn/metrics/pairwise.py |
nan_euclidean_distances |
24 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_euclidean_distances_upcast |
30 |
2 |
0 |
12 |
2 |
90% |
| sklearn/metrics/pairwise.py |
_argmin_min_reduce |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_argmin_reduce |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
pairwise_distances_argmin_min |
17 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/pairwise.py |
pairwise_distances_argmin |
14 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/pairwise.py |
haversine_distances |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
manhattan_distances |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
cosine_distances |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
paired_euclidean_distances |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
paired_manhattan_distances |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
paired_cosine_distances |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
paired_distances |
9 |
0 |
0 |
6 |
1 |
93% |
| sklearn/metrics/pairwise.py |
linear_kernel |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
polynomial_kernel |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
sigmoid_kernel |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
rbf_kernel |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
laplacian_kernel |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
cosine_similarity |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/pairwise.py |
additive_chi2_kernel |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/pairwise.py |
chi2_kernel |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
distance_metrics |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/metrics/pairwise.py |
_dist_wrapper |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_parallel_pairwise |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_pairwise_callable |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_check_chunk_size |
10 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/pairwise.py |
_precompute_metric_params |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/pairwise.py |
pairwise_distances_chunked |
21 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/pairwise.py |
pairwise_distances |
22 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/pairwise.py |
kernel_metrics |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/pairwise.py |
pairwise_kernels |
13 |
0 |
0 |
12 |
1 |
96% |
| sklearn/metrics/pairwise.py |
(no function) |
94 |
3 |
2 |
6 |
3 |
94% |
| sklearn/metrics/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
make_prediction |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_dictionary_output |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_output_dict_empty_input |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_zero_division_warning |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_labels_subset_superset |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_accuracy_score_subset_accuracy |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_score_binary |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f_binary_single_class |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f_extra_labels |
23 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f_ignored_labels |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_average_precision_score_non_binary_class |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_average_precision_score_duplicate_values |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_average_precision_score_tied_values |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f_unused_pos_label |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_binary |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_binary.test |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_confusion_matrix_binary |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_confusion_matrix_binary.test |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_confusion_matrix_multiclass |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_confusion_matrix_multiclass.test |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_confusion_matrix_multilabel |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_confusion_matrix_errors |
17 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_normalize |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_normalize_single_class |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_single_label |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_likelihood_ratios_warnings |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_likelihood_ratios_errors |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_likelihood_ratios |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_cohen_kappa |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef_nan |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_zero_division_nan_no_warning |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_zero_division_nan_warning |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef_against_numpy_corrcoef |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef_against_jurman |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef_multiclass |
28 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef_overflow |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef_overflow.mcc_safe |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_matthews_corrcoef_overflow.random_ys |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_score_multiclass |
37 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_refcall_f1_score_multilabel_unordered_labels |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_score_binary_averaged |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_zero_precision_recall |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_multiclass_subset_labels |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_on_zero_length_input |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_dtype |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_confusion_matrix_pandas_nullable |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_multiclass |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_multiclass_balanced |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_multiclass_with_label_detection |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_multiclass_with_digits |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_multiclass_with_string_label |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_multiclass_with_unicode_label |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_multiclass_with_long_string_label |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_labels_target_names_unequal_length |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_report_no_labels_target_names_unequal_length |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_classification_report |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_zero_one_loss_subset |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_hamming_loss |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_jaccard_score_validation |
21 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multilabel_jaccard_score |
34 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_multiclass_jaccard_score |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_average_binary_jaccard_score |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_jaccard_score_zero_division_warning |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_jaccard_score_zero_division_set_value |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_score_multilabel_1 |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_score_multilabel_2 |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_score_with_an_empty_prediction |
40 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_no_labels |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_no_labels_check_warnings |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_no_labels_average_none |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_recall_f1_no_labels_average_none_warn |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_prf_warnings |
35 |
0 |
0 |
20 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_prf_no_warnings_if_zero_division_set |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_recall_warnings |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_precision_warnings |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_fscore_warnings |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_prf_average_binary_data_non_binary |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test__check_targets |
38 |
0 |
0 |
20 |
1 |
98% |
| sklearn/metrics/tests/test_classification.py |
test__check_targets_multiclass_with_both_y_true_and_y_pred_binary |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_hinge_loss_binary |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_hinge_loss_multiclass |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_hinge_loss_multiclass_missing_labels_with_labels_none |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_hinge_loss_multiclass_no_consistent_pred_decision_shape |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_hinge_loss_multiclass_with_missing_labels |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_hinge_loss_multiclass_missing_labels_only_two_unq_in_y_true |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_hinge_loss_multiclass_invariance_lists |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_log_loss |
38 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_log_loss_eps |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_log_loss_not_probabilities_warning |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_log_loss_perfect_predictions |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_log_loss_pandas_input |
12 |
2 |
0 |
2 |
0 |
86% |
| sklearn/metrics/tests/test_classification.py |
test_brier_score_loss |
23 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_balanced_accuracy_score_unseen |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_balanced_accuracy_score |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_metric_pos_label_types |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_f1_for_small_binary_inputs_with_zero_division |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_classification_metric_division_by_zero_nan_validaton |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_brier_score_loss_deprecation_warning |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_d2_log_loss_score |
55 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
test_d2_log_loss_score_raises |
32 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/tests/test_classification.py |
(no function) |
164 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
precision_recall_curve_padded_thresholds |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
_require_positive_targets |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_symmetry_consistency |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_symmetric_metric |
13 |
2 |
0 |
6 |
2 |
79% |
| sklearn/metrics/tests/test_common.py |
test_not_symmetric_metric |
9 |
1 |
0 |
2 |
0 |
91% |
| sklearn/metrics/tests/test_common.py |
test_sample_order_invariance |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_sample_order_invariance_multilabel_and_multioutput |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_format_invariance_with_1d_vectors |
41 |
0 |
0 |
20 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_classification_invariance_string_vs_numbers_labels |
23 |
1 |
0 |
6 |
1 |
93% |
| sklearn/metrics/tests/test_common.py |
test_thresholded_invariance_string_vs_numbers_labels |
20 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_regression_thresholded_inf_nan_input |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_classification_inf_nan_input |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_classification_binary_continuous_input |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
check_single_sample |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
check_single_sample_multioutput |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_single_sample |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_single_sample_multioutput |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_multioutput_number_of_output_differ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_multioutput_regression_invariance_to_dimension_shuffling |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_multilabel_representation_invariance |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_raise_value_error_multilabel_sequences |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_normalize_option_binary_classification |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_normalize_option_multiclass_classification |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_normalize_option_multilabel_classification |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
_check_averaging |
20 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
check_averaging |
7 |
1 |
0 |
4 |
1 |
82% |
| sklearn/metrics/tests/test_common.py |
test_averaging_multiclass |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_averaging_multilabel |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_averaging_multilabel_all_zeroes |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_averaging_binary_multilabel_all_zeroes |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_averaging_multilabel_all_ones |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
check_sample_weight_invariance |
27 |
1 |
0 |
6 |
0 |
97% |
| sklearn/metrics/tests/test_common.py |
test_regression_sample_weight_invariance |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_binary_sample_weight_invariance |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_multiclass_sample_weight_invariance |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_multilabel_sample_weight_invariance |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_no_averaging_labels |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_multilabel_label_permutations_invariance |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_thresholded_multilabel_multioutput_permutations_invariance |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_thresholded_metric_permutation_invariance |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_metrics_consistent_type_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_metrics_pos_label_error_str |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
check_array_api_metric |
9 |
8 |
0 |
4 |
0 |
8% |
| sklearn/metrics/tests/test_common.py |
check_array_api_binary_classification_metric |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/metrics/tests/test_common.py |
check_array_api_multiclass_classification_metric |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/metrics/tests/test_common.py |
check_array_api_regression_metric |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/metrics/tests/test_common.py |
check_array_api_regression_metric_multioutput |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/metrics/tests/test_common.py |
check_array_api_multioutput_regression_metric |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
check_array_api_metric_pairwise |
8 |
1 |
0 |
2 |
0 |
90% |
| sklearn/metrics/tests/test_common.py |
yield_metric_checker_combinations |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
test_array_api_compliance |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_common.py |
(no function) |
137 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
dist_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_cdist |
26 |
1 |
0 |
8 |
1 |
94% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_cdist_bool_metric |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_pdist |
23 |
1 |
0 |
8 |
1 |
94% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_distance_metrics_dtype_consistency |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_pdist_bool_metrics |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_pickle |
14 |
0 |
0 |
9 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_pickle_bool_metrics |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_haversine_metric |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_haversine_metric.haversine_slow |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_pyfunc_metric |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_input_data_size |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_input_data_size.custom_metric |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_readonly_kwargs |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_minkowski_metric_validate_weights_values |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_minkowski_metric_validate_weights_size |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_get_metric_dtype |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_get_metric_bad_dtype |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
test_minkowski_metric_validate_bad_p_parameter |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_dist_metrics.py |
(no function) |
66 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_for_dense_data |
51 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_for_sparse_data |
38 |
4 |
0 |
12 |
2 |
80% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_boolean_distance |
17 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_no_data_conversion_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_precomputed |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_precomputed_non_negative |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
callable_rbf_kernel |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_parallel |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_callable_nonstrict_metric |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_kernels |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_kernels_callable |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_kernels_filter_param |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_paired_distances |
12 |
0 |
0 |
2 |
1 |
93% |
| sklearn/metrics/tests/test_pairwise.py |
test_paired_distances_callable |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_argmin_min |
71 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
_reduce_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_chunked_reduce |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_chunked_reduce_none |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_chunked_reduce_valid |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_chunked_reduce_invalid |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
check_pairwise_distances_chunked |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_chunked_diagonal |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_parallel_pairwise_distances_diagonal |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_chunked |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_known_result |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_with_norms |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_float32_norms |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_norm_shapes |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_sym |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_upcast |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_upcast_sym |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_euclidean_distances_extreme_values |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_nan_euclidean_distances_equal_to_euclidean_distance |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_nan_euclidean_distances_infinite_values |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_nan_euclidean_distances_2x2 |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_nan_euclidean_distances_complete_nan |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_nan_euclidean_distances_not_trival |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_nan_euclidean_distances_one_feature_match_positive |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_cosine_distances |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_haversine_distances |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_haversine_distances.slow_haversine_distances |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_paired_euclidean_distances |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_paired_manhattan_distances |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_paired_cosine_distances |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_chi_square_kernel |
38 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_kernel_symmetry |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_kernel_sparse |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_linear_kernel |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_rbf_kernel |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_laplacian_kernel |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_similarity_sparse_output |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_cosine_similarity |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_check_dense_matrices |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_check_XB_returned |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_check_different_dimensions |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_check_invalid_dimensions |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_check_sparse_arrays |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
tuplify |
4 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_check_tuple_input |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_check_preserve_type |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_data_derived_params |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_distances_data_derived_params_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_numeric_pairwise_distances_datatypes |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_dist_custom_metric_for_string |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_dist_custom_metric_for_string.dummy_string_similarity |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_dist_custom_metric_for_bool |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_pairwise_dist_custom_metric_for_bool.dummy_bool_dist |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
test_sparse_manhattan_readonly_dataset |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise.py |
(no function) |
141 |
0 |
0 |
22 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
_get_metric_params_list |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
assert_same_distances_for_common_neighbors |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
assert_no_missing_neighbors |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
assert_compatible_argkmin_results |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
_non_trivial_radius |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
assert_compatible_radius_results |
22 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_assert_compatible_argkmin_results |
30 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_assert_compatible_radius_results |
33 |
0 |
0 |
14 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_pairwise_distances_reduction_is_usable_for |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_argkmin_factory_method_wrong_usages |
37 |
0 |
0 |
22 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_argkmin_classmode_factory_method_wrong_usages |
28 |
0 |
0 |
16 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_radius_neighbors_factory_method_wrong_usages |
35 |
0 |
0 |
20 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_radius_neighbors_classmode_factory_method_wrong_usages |
26 |
0 |
0 |
14 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_chunk_size_agnosticism |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_n_threads_agnosticism |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_format_agnosticism |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_strategies_consistency |
20 |
2 |
0 |
4 |
1 |
88% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_pairwise_distances_argkmin |
22 |
2 |
0 |
8 |
1 |
90% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_pairwise_distances_radius_neighbors |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_memmap_backed_data |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_sqeuclidean_row_norms |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_argkmin_classmode_strategy_consistent |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
test_radius_neighbors_classmode_strategy_consistent |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_pairwise_distances_reduction.py |
(no function) |
61 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
make_prediction |
21 |
0 |
0 |
6 |
1 |
96% |
| sklearn/metrics/tests/test_ranking.py |
_auc |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_average_precision |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_average_precision_slow |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_partial_roc_auc_score |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_partial_roc_auc_score._partial_roc |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_end_points |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_returns_consistency |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_multi |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_confidence |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_hard |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_one_label |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_toydata |
81 |
0 |
0 |
16 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_drop_intermediate |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_fpr_tpr_increasing |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_auc |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_auc_errors |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_multiclass_ovo_roc_auc_toydata |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_multiclass_ovo_roc_auc_toydata_binary |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_multiclass_ovr_roc_auc_toydata |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_perfect_imperfect_chance_multiclass_roc_auc |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_micro_averaged_ovr_roc_auc |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_auc_score_multiclass_labels_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_auc_score_multiclass_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_auc_score_non_binary_class |
24 |
0 |
0 |
14 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_binary_clf_curve_multiclass_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_binary_clf_curve_implicit_pos_label |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_binary_clf_curve_implicit_bytes_pos_label |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_binary_clf_curve_zero_sample_weight |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_precision_recall_curve |
21 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_test_precision_recall_curve |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_precision_recall_curve_toydata |
99 |
0 |
0 |
24 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_precision_recall_curve_drop_intermediate |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_average_precision_constant_values |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_average_precision_score_binary_pos_label_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_average_precision_score_multilabel_pos_label_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_average_precision_score_multiclass_pos_label_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_score_scale_invariance |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_det_curve_toydata |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_det_curve_tie_handling |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_det_curve_sanity_check |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_det_curve_constant_scores |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_det_curve_perfect_scores |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_det_curve_bad_input |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_det_curve_pos_label |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
check_lrap_toy |
35 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
check_zero_or_all_relevant_labels |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
check_lrap_error_raised |
18 |
0 |
0 |
18 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
check_lrap_only_ties |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
check_lrap_without_tie_and_increasing_score |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_my_lrap |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
check_alternative_lrap_implementation |
12 |
0 |
0 |
2 |
1 |
93% |
| sklearn/metrics/tests/test_ranking.py |
test_label_ranking_avp |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_lrap_error_raised |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_alternative_lrap_implementation |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_lrap_sample_weighting_zero_labels |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_coverage_error |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_coverage_tie_handling |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_coverage_1d_error_message |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_label_ranking_loss |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_label_ranking_loss_sparse |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ranking_appropriate_input_shape |
12 |
0 |
0 |
12 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ranking_loss_ties_handling |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_dcg_score |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_test_dcg_score_for |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_dcg_ties |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ndcg_ignore_ties_with_k |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ndcg_negative_ndarray_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ndcg_invariant |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ndcg_toy_examples |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ndcg_error_single_document |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ndcg_score |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
_test_ndcg_score_for |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_partial_roc_auc_score |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_top_k_accuracy_score |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_top_k_accuracy_score_binary |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_top_k_accuracy_score_multiclass_with_labels |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_top_k_accuracy_score_increasing |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_top_k_accuracy_score_ties |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_top_k_accuracy_score_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_top_k_accuracy_score_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_label_ranking_avg_precision_score_should_allow_csr_matrix_for_y_true_input |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_ranking_metric_pos_label_types |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_roc_curve_with_probablity_estimates |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
test_precision_recall_curve_deprecation_warning |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_ranking.py |
(no function) |
143 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_regression_metrics |
40 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_root_mean_squared_error_multioutput_raw_value |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_multioutput_regression |
50 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_regression_metrics_at_limits |
63 |
0 |
0 |
30 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test__check_reg_targets |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test__check_reg_targets_exception |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_regression_multioutput_array |
58 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_regression_custom_weights |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_regression_single_sample |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_tweedie_deviance_continuity |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_mean_absolute_percentage_error |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_mean_pinball_loss_on_constant_predictions |
21 |
1 |
0 |
4 |
1 |
92% |
| sklearn/metrics/tests/test_regression.py |
test_mean_pinball_loss_on_constant_predictions.objective_func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_dummy_quantile_parameter_tuning |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_pinball_loss_relation_with_mae |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_mean_squared_deprecation_squared |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
test_rmse_rmsle_parameter |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_regression.py |
(no function) |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
_require_positive_y |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
_make_estimators |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
memmap_data_and_estimators |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
EstimatorWithFit.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
EstimatorWithFitAndScore.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
EstimatorWithFitAndScore.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
EstimatorWithFitAndPredict.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
EstimatorWithFitAndPredict.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
DummyScorer.__call__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_all_scorers_repr |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
check_scoring_validator_for_single_metric_usecases |
20 |
0 |
0 |
4 |
1 |
96% |
| sklearn/metrics/tests/test_score_objects.py |
test_check_scoring_and_check_multimetric_scoring |
14 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_check_scoring_and_check_multimetric_scoring_errors |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_check_scoring_gridsearchcv |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_classification_binary_scores |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_classification_multiclass_scores |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_custom_scorer_pickling |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_regression_scorers |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_thresholded_scorers |
35 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_thresholded_scorers_multilabel_indicator_data |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_supervised_cluster_scorers |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_raises_on_score_list |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_classification_scorer_sample_weight |
25 |
0 |
0 |
8 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_regression_scorer_sample_weight |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_scorer_memmap_input |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_scoring_is_not_metric |
10 |
0 |
0 |
10 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_calls_method_once |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_calls_method_once_classifier_no_decision |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_calls_method_once_classifier_no_decision.MockKNeighborsClassifier.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_calls_method_once_regressor_threshold |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_calls_method_once_regressor_threshold.MockDecisionTreeRegressor.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_sanity_check |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_exception_handling |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multiclass_roc_proba_scorer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multiclass_roc_proba_scorer_label |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multiclass_roc_no_proba_scorer_errors |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
string_labeled_classification_problem |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_average_precision_pos_label |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_average_precision_pos_label._predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_brier_score_loss_pos_label |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_non_symmetric_metric_pos_label |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_scorer_select_proba_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_get_scorer_return_copy |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_scorer_no_op_multiclass_select_proba |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_scorer_set_score_request_raises |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_scorer_metadata_request |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_metadata_kwarg_conflict |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_PassthroughScorer_set_score_request |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_PassthroughScorer_set_score_request_raises_without_routing_enabled |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scoring_metadata_routing |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scoring_metadata_routing.score1 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scoring_metadata_routing.score2 |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scoring_metadata_routing.score3 |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_kwargs_without_metadata_routing_error |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_kwargs_without_metadata_routing_error.score |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_get_scorer_multilabel_indicator |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_make_scorer_repr |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_make_scorer_error |
2 |
0 |
0 |
4 |
1 |
83% |
| sklearn/metrics/tests/test_score_objects.py |
test_make_scorer_deprecation |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_get_scorer_multimetric |
24 |
0 |
0 |
6 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_get_scorer_multimetric.double_accuracy |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_multimetric_scorer_repr |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_check_scoring_multimetric_raise_exc |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_check_scoring_multimetric_raise_exc.raising_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
test_metadata_routing_multimetric_metadata_routing |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/metrics/tests/test_score_objects.py |
(no function) |
120 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/__init__.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
_check_shape |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture._check_parameters |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/mixture/_base.py |
BaseMixture._initialize_parameters |
17 |
0 |
0 |
8 |
1 |
96% |
| sklearn/mixture/_base.py |
BaseMixture._initialize |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/mixture/_base.py |
BaseMixture.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture.fit_predict |
42 |
0 |
0 |
16 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture._e_step |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture._m_step |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/mixture/_base.py |
BaseMixture._get_parameters |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/mixture/_base.py |
BaseMixture._set_parameters |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/mixture/_base.py |
BaseMixture.score_samples |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture.predict_proba |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture.sample |
13 |
0 |
0 |
14 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture._estimate_weighted_log_prob |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture._estimate_log_weights |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/mixture/_base.py |
BaseMixture._estimate_log_prob |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/mixture/_base.py |
BaseMixture._estimate_log_prob_resp |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture._print_verbose_msg_init_beg |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/_base.py |
BaseMixture._print_verbose_msg_iter_end |
7 |
4 |
0 |
6 |
2 |
54% |
| sklearn/mixture/_base.py |
BaseMixture._print_verbose_msg_init_end |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/_base.py |
(no function) |
46 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
_log_dirichlet_norm |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
_log_wishart_norm |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._check_parameters |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._check_weights_parameters |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._check_means_parameters |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._check_precision_parameters |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._checkcovariance_prior_parameter |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._initialize |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_weights |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_means |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_precisions |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_wishart_full |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_wishart_tied |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_wishart_diag |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_wishart_spherical |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._m_step |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_log_weights |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._estimate_log_prob |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._compute_lower_bound |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._get_parameters |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
BayesianGaussianMixture._set_parameters |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/mixture/_bayesian_mixture.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_check_weights |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_check_means |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_check_precision_positivity |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_check_precision_matrix |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_check_precisions_full |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_check_precisions |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_estimate_gaussian_covariances_full |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_estimate_gaussian_covariances_tied |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_estimate_gaussian_covariances_diag |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_estimate_gaussian_covariances_spherical |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_estimate_gaussian_parameters |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_compute_precision_cholesky |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_flipudlr |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_compute_precision_cholesky_from_precisions |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_compute_log_det_cholesky |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
_estimate_log_gaussian_prob |
20 |
0 |
0 |
12 |
1 |
97% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._check_parameters |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._initialize_parameters |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._initialize |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._m_step |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._estimate_log_prob |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._estimate_log_weights |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._compute_lower_bound |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._get_parameters |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._set_parameters |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture._n_parameters |
11 |
0 |
0 |
8 |
1 |
95% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture.bic |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
GaussianMixture.aic |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/_gaussian_mixture.py |
(no function) |
37 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_log_dirichlet_norm |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_log_wishart_norm |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_weights_prior_initialisation |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_mean_prior_initialisation |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_precisions_prior_initialisation |
27 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_check_is_fitted |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_weights |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_monotonic_likelihood |
15 |
0 |
0 |
8 |
1 |
96% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_compare_covar_type |
24 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_check_covariance_precision |
15 |
0 |
0 |
10 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_invariant_translation |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_fit_predict |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_fit_predict_n_init |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
test_bayesian_mixture_predict_predict_proba |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/tests/test_bayesian_mixture.py |
(no function) |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
generate_data |
16 |
0 |
0 |
16 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
RandomData.__init__ |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_attributes |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_check_weights |
25 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_check_means |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_check_precisions |
23 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_suffstat_sk_full |
28 |
0 |
0 |
8 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_suffstat_sk_tied |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_suffstat_sk_diag |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_suffstat_sk_spherical |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_compute_log_det_cholesky |
14 |
0 |
0 |
14 |
1 |
96% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
_naive_lmvnpdf_diag |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_log_probabilities |
26 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_estimate_log_prob_resp |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_predict_predict_proba |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_fit_predict |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_fit_predict_n_init |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_fit |
30 |
0 |
0 |
20 |
1 |
98% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_fit_best_params |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_fit_convergence_warning |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_multiple_init |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_n_parameters |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_bic_1d_1component |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_aic_bic |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_verbose |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_warm_start |
23 |
0 |
0 |
4 |
1 |
96% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_convergence_detected_with_warm_start |
12 |
0 |
0 |
6 |
1 |
94% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_score |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_score_samples |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_monotonic_likelihood |
16 |
0 |
0 |
8 |
1 |
96% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_regularisation |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_property |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_sample |
29 |
0 |
0 |
18 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_init |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_setting_best_params |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_init_means_not_duplicated |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_means_for_all_inits |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_max_iter_zero |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_precisions_init_diag |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
_generate_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
_calculate_precisions |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_precisions_init |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_single_component_stable |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
test_gaussian_mixture_all_init_does_not_estimate_gaussian_parameters |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_gaussian_mixture.py |
(no function) |
75 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_mixture.py |
test_gaussian_mixture_n_iter |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/mixture/tests/test_mixture.py |
test_mixture_n_components_greater_than_n_samples_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/mixture/tests/test_mixture.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/__init__.py |
__getattr__ |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/model_selection/__init__.py |
(no function) |
10 |
1 |
0 |
2 |
1 |
83% |
| sklearn/model_selection/_classification_threshold.py |
_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
_estimator_has.check |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
_threshold_scores_to_class_labels |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier._get_response_method |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier.fit |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier.classes_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
BaseThresholdClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
FixedThresholdClassifier.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
FixedThresholdClassifier._fit |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
FixedThresholdClassifier.predict |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
FixedThresholdClassifier.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
_CurveScorer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
_CurveScorer.from_scorer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
_CurveScorer._score |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
_fit_and_score_over_thresholds |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
_mean_interpolated_score |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
TunedThresholdClassifierCV.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
TunedThresholdClassifierCV._fit |
44 |
0 |
0 |
25 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
TunedThresholdClassifierCV.predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
TunedThresholdClassifierCV.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
TunedThresholdClassifierCV._get_curve_scorer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_classification_threshold.py |
(no function) |
54 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_plot.py |
_BaseCurveDisplay._plot_curve |
48 |
0 |
0 |
32 |
1 |
99% |
| sklearn/model_selection/_plot.py |
LearningCurveDisplay.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_plot.py |
LearningCurveDisplay.plot |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_plot.py |
LearningCurveDisplay.from_estimator |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_plot.py |
ValidationCurveDisplay.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_plot.py |
ValidationCurveDisplay.plot |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_plot.py |
ValidationCurveDisplay.from_estimator |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_plot.py |
(no function) |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterGrid.__init__ |
15 |
0 |
0 |
16 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterGrid.__iter__ |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterGrid.__len__ |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterGrid.__getitem__ |
17 |
0 |
0 |
12 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterSampler.__init__ |
13 |
0 |
0 |
12 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterSampler._is_all_lists |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterSampler.__iter__ |
19 |
0 |
0 |
12 |
0 |
100% |
| sklearn/model_selection/_search.py |
ParameterSampler.__len__ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
_check_refit |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
_estimator_has.check |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._estimator_type |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.score |
17 |
2 |
0 |
10 |
2 |
85% |
| sklearn/model_selection/_search.py |
BaseSearchCV.score_samples |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.inverse_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.n_features_in_ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.classes_ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._run_search |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._check_refit_for_multimetric |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._select_best_index |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._get_scorers |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._get_routed_params_for_fit |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.fit |
43 |
0 |
0 |
16 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.fit.evaluate_candidates |
20 |
0 |
0 |
14 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._format_results |
37 |
0 |
0 |
23 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._format_results._store |
17 |
0 |
0 |
10 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV.get_metadata_routing |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
BaseSearchCV._sk_visual_block_ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search.py |
GridSearchCV.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
GridSearchCV._run_search |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
RandomizedSearchCV.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
RandomizedSearchCV._run_search |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search.py |
(no function) |
88 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
_SubsampleMetaSplitter.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
_SubsampleMetaSplitter.split |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
_top_k |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
BaseSuccessiveHalving.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
BaseSuccessiveHalving._check_input_parameters |
28 |
0 |
0 |
22 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
BaseSuccessiveHalving._select_best_index |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
BaseSuccessiveHalving.fit |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
BaseSuccessiveHalving._run_search |
49 |
0 |
0 |
21 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
BaseSuccessiveHalving._generate_candidate_params |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/_search_successive_halving.py |
BaseSuccessiveHalving._more_tags |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
HalvingGridSearchCV.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
HalvingGridSearchCV._generate_candidate_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
HalvingRandomSearchCV.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
HalvingRandomSearchCV._generate_candidate_params |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_search_successive_halving.py |
(no function) |
42 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
_UnsupportedGroupCVMixin.split |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseCrossValidator.split |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseCrossValidator._iter_test_masks |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseCrossValidator._iter_test_indices |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/_split.py |
BaseCrossValidator.get_n_splits |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseCrossValidator.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeaveOneOut._iter_test_indices |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeaveOneOut.get_n_splits |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeavePOut.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeavePOut._iter_test_indices |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeavePOut.get_n_splits |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
_BaseKFold.__init__ |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_split.py |
_BaseKFold.split |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_split.py |
_BaseKFold.get_n_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
KFold.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
KFold._iter_test_indices |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_split.py |
GroupKFold.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
GroupKFold._iter_test_indices |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_split.py |
GroupKFold.split |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedKFold.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedKFold._make_test_folds |
29 |
1 |
0 |
14 |
1 |
95% |
| sklearn/model_selection/_split.py |
StratifiedKFold._iter_test_masks |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedKFold.split |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedGroupKFold.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedGroupKFold._iter_test_indices |
31 |
0 |
0 |
16 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedGroupKFold._find_best_fold |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_split.py |
TimeSeriesSplit.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
TimeSeriesSplit.split |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
TimeSeriesSplit._split |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeaveOneGroupOut._iter_test_masks |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeaveOneGroupOut.get_n_splits |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeaveOneGroupOut.split |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeavePGroupsOut.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeavePGroupsOut._iter_test_masks |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeavePGroupsOut.get_n_splits |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
LeavePGroupsOut.split |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
_RepeatedSplits.__init__ |
10 |
1 |
0 |
7 |
1 |
88% |
| sklearn/model_selection/_split.py |
_RepeatedSplits.split |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_split.py |
_RepeatedSplits.get_n_splits |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
_RepeatedSplits.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
RepeatedKFold.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
RepeatedStratifiedKFold.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseShuffleSplit.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseShuffleSplit.split |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseShuffleSplit._iter_indices |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseShuffleSplit.get_n_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
BaseShuffleSplit.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
ShuffleSplit.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
GroupShuffleSplit.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
GroupShuffleSplit._iter_indices |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_split.py |
GroupShuffleSplit.split |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedShuffleSplit.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedShuffleSplit._iter_indices |
32 |
0 |
0 |
14 |
0 |
100% |
| sklearn/model_selection/_split.py |
StratifiedShuffleSplit.split |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
_validate_shuffle_split |
32 |
1 |
0 |
28 |
1 |
97% |
| sklearn/model_selection/_split.py |
PredefinedSplit.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
PredefinedSplit.split |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
PredefinedSplit._split |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
PredefinedSplit._iter_test_masks |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
PredefinedSplit.get_n_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
_CVIterableWrapper.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
_CVIterableWrapper.get_n_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
_CVIterableWrapper.split |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_split.py |
check_cv |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_split.py |
train_test_split |
18 |
1 |
0 |
10 |
1 |
93% |
| sklearn/model_selection/_split.py |
_pprint |
23 |
1 |
0 |
12 |
1 |
94% |
| sklearn/model_selection/_split.py |
_build_repr |
20 |
1 |
0 |
14 |
2 |
91% |
| sklearn/model_selection/_split.py |
_yields_constant_splits |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_split.py |
(no function) |
116 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_check_params_groups_deprecation |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/_validation.py |
cross_validate |
41 |
0 |
0 |
18 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_insert_error_scores |
13 |
1 |
0 |
14 |
1 |
93% |
| sklearn/model_selection/_validation.py |
_normalize_score_results |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_warn_or_raise_about_fit_failures |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_validation.py |
cross_val_score |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_fit_and_score |
87 |
2 |
0 |
56 |
3 |
97% |
| sklearn/model_selection/_validation.py |
_score |
33 |
0 |
0 |
30 |
0 |
100% |
| sklearn/model_selection/_validation.py |
cross_val_predict |
45 |
1 |
0 |
28 |
2 |
96% |
| sklearn/model_selection/_validation.py |
_fit_and_predict |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_enforce_prediction_order |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_check_is_permutation |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_validation.py |
permutation_test_score |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_permutation_test_score |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_shuffle |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/_validation.py |
learning_curve |
49 |
0 |
0 |
24 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_translate_train_sizes |
15 |
0 |
0 |
8 |
1 |
96% |
| sklearn/model_selection/_validation.py |
_incremental_fit_estimator |
28 |
1 |
0 |
8 |
1 |
94% |
| sklearn/model_selection/_validation.py |
validation_curve |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_validation.py |
_aggregate_score_dicts |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/_validation.py |
(no function) |
51 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/common.py |
OneTimeSplitter.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/common.py |
OneTimeSplitter.split |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/common.py |
OneTimeSplitter.get_n_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/common.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_curve_scorer |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_curve_scorer_pos_label |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fit_and_score_over_thresholds_curve_scorers |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fit_and_score_over_thresholds_prefit |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fit_and_score_over_thresholds_sample_weight |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fit_and_score_over_thresholds_fit_params |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_no_binary |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_conflict_cv_refit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_threshold_classifier_estimator_response_methods |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_without_constraint_value |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_metric_with_parameter |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_with_string_targets |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_refit |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_fit_params |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_cv_zeros_sample_weights_equivalence |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_thresholds_array |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_store_cv_results |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_cv_float |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_tuned_threshold_classifier_error_constant_predictor |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fixed_threshold_classifier_equivalence_default |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fixed_threshold_classifier |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fixed_threshold_classifier_metadata_routing |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
ClassifierLoggingFit.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
ClassifierLoggingFit.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
ClassifierLoggingFit.predict_proba |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/tests/test_classification_threshold.py |
test_fixed_threshold_classifier_prefit |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_classification_threshold.py |
(no function) |
65 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_curve_display_parameters_validation |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_learning_curve_display_default_usage |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_validation_curve_display_default_usage |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_curve_display_negate_score |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_curve_display_score_name |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_learning_curve_display_score_type |
47 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_validation_curve_display_score_type |
47 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_curve_display_xscale_auto |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_curve_display_std_display_style |
32 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_curve_display_plot_kwargs |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_validation_curve_xscale_from_param_range_provided_as_a_list |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
test_subclassing_displays |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_plot.py |
(no function) |
33 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.inverse_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.score |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
MockClassifier.set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
LinearSVCNoScore.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
assert_grid_iter_equals_getitem |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_validate_parameter_input |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_parameter_grid |
23 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_pipeline_steps |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_SearchCV_with_fit_params |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_no_score |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_score_method |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_groups |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_classes__property |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_trivial_cv_results_attr |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_no_refit |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_one_grid_point |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_when_param_grid_includes_range |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_bad_param_grid |
24 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_sparse |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_sparse_scoring |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_sparse_scoring.f1_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_precomputed_kernel |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_precomputed_kernel_error_nonsquare |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
BrokenClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
BrokenClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
BrokenClassifier.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable.refit_callable |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable_invalid_type |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable_invalid_type.refit_callable_invalid_type |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable_out_bound |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable_out_bound.refit_callable_out_bound |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable_multi_metric |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_refit_callable_multi_metric.refit_callable |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_gridsearch_nd |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_gridsearch_nd.check_X |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_gridsearch_nd.check_y |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_X_as_list |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_y_as_list |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_pandas_input |
17 |
2 |
0 |
2 |
0 |
89% |
| sklearn/model_selection/tests/test_search.py |
test_pandas_input.check_df |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_pandas_input.check_series |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_unsupervised_grid_search |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_gridsearch_no_predict |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_gridsearch_no_predict.custom_scoring |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_param_sampler |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
check_cv_results_array_types |
8 |
0 |
0 |
10 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
check_cv_results_keys |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_cv_results |
22 |
0 |
0 |
8 |
2 |
93% |
| sklearn/model_selection/tests/test_search.py |
test_random_search_cv_results |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_default_iid |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_cv_results_multimetric |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_random_search_cv_results_multimetric |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
compare_cv_results_multimetric_with_single |
7 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
compare_refit_methods_when_refit_with_acc |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_score_samples_error |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_score_samples_method |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_results_rank_tie_breaking |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_results_none_param |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_timing |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_correct_score_results |
23 |
0 |
0 |
14 |
1 |
97% |
| sklearn/model_selection/tests/test_search.py |
test_pickle |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_with_multioutput_data |
24 |
0 |
0 |
12 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_predict_proba_disabled |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_allows_nans |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
FailingClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
FailingClassifier.fit |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
FailingClassifier.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
FailingClassifier.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_failing_classifier |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_failing_classifier.get_cand_scores |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_classifier_all_fits_fail |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_failing_classifier_raise |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_parameters_sampler_replacement |
23 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_stochastic_gradient_loss_param |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_train_scores_set_to_false |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_cv_splits_consistency |
23 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_grid_search_cv_splits_consistency._pop_time_keys |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_transform_inverse_transform_round_trip |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_custom_run_search |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_custom_run_search.check_results |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_custom_run_search.fit_grid |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_custom_run_search.CustomSearchCV.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_custom_run_search.CustomSearchCV._run_search |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test__custom_fit_no_run_search |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test__custom_fit_no_run_search.NoRunSearchSearchCV.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test__custom_fit_no_run_search.NoRunSearchSearchCV.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test__custom_fit_no_run_search.BadSearchCV.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_empty_cv_iterator_error |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_random_search_bad_cv |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_random_search_bad_cv.BrokenKFold.get_n_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_searchcv_raise_warning_with_non_finite_score |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_searchcv_raise_warning_with_non_finite_score.FailingScorer.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_searchcv_raise_warning_with_non_finite_score.FailingScorer.__call__ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_confusion_matrix |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_confusion_matrix.custom_scorer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_same_as_list_of_strings |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_same_as_list_of_strings.custom_scorer |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_single_metric_same_as_single_string |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_single_metric_same_as_single_string.custom_scorer |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_error_on_invalid_key |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_error_on_invalid_key.bad_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_error_failing_clf |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_error_failing_clf.custom_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_clf_all_fits_fail |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_callable_multimetric_clf_all_fits_fail.custom_scorer |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/tests/test_search.py |
test_n_features_in |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_pairwise_property_delegated_to_base_estimator |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_pairwise_property_delegated_to_base_estimator.TestEstimator._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv__pairwise_property_delegated_to_base_estimator |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv__pairwise_property_delegated_to_base_estimator.EstimatorPairwise.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv__pairwise_property_delegated_to_base_estimator.EstimatorPairwise._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_pairwise_property_equivalence_of_precomputed |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_scalar_fit_param |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_scalar_fit_param.TestEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_scalar_fit_param.TestEstimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_scalar_fit_param.TestEstimator.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_scalar_fit_param_compat |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_scalar_fit_param_compat._FitParamClassifier.fit |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_scalar_fit_param_compat._fit_param_callable |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_using_minimal_compatible_estimator |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_cv_verbose_3 |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_estimator_param |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_with_2d_array |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_html_repr |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_inverse_transform_Xt_deprecation |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_multi_metric_search_forwards_metadata |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_score_rejects_params_with_no_routing_enabled |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_cv_results_dtype_issue_29074 |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_cv_results_dtype_issue_29074.MetaEstimator.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_cv_results_dtype_issue_29074.MetaEstimator.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_cv_results_dtype_issue_29074.MetaEstimator.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_search_with_estimators_issue_29157 |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_search.py |
test_array_api_search_cv_classifier |
10 |
9 |
0 |
2 |
0 |
8% |
| sklearn/model_selection/tests/test_search.py |
(no function) |
186 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
_split |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_cross_validator_with_default_params |
40 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_2d_y |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
check_valid_split |
4 |
0 |
0 |
2 |
1 |
83% |
| sklearn/model_selection/tests/test_split.py |
check_cv_coverage |
11 |
0 |
0 |
4 |
1 |
93% |
| sklearn/model_selection/tests/test_split.py |
test_kfold_valueerrors |
49 |
0 |
0 |
38 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_kfold_indices |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_kfold_no_shuffle |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_kfold_no_shuffle |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_kfold_ratios |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_kfold_label_invariance |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_kfold_label_invariance.get_splits |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_kfold_balance |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratifiedkfold_balance |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shuffle_kfold |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shuffle_kfold_stratifiedkfold_reproducibility |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shuffle_stratifiedkfold |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_kfold_can_detect_dependent_samples_on_digits |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_group_kfold_trivial |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_group_kfold_approximate |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_group_kfold_homogeneous_groups |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_group_kfold_against_group_kfold |
21 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shuffle_split |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shuffle_split_default_test_size |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_group_shuffle_split_default_test_size |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_init |
14 |
0 |
0 |
10 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_respects_test_size |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_iter |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_even |
27 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_even.assert_counts_are_ok |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_overlap_train_test_bug |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_multilabel |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratified_shuffle_split_multilabel_many_labels |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_predefinedsplit_with_kfold_split |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_group_shuffle_split |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_leave_one_p_group_out |
31 |
0 |
0 |
14 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_leave_group_out_changing_groups |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_leave_group_out_order_dependence |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_leave_one_p_group_out_error_on_fewer_number_of_groups |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_repeated_cv_value_errors |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_repeated_cv_repr |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_repeated_kfold_determinstic_split |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_get_n_splits_for_repeated_kfold |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_get_n_splits_for_repeated_stratified_kfold |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_repeated_stratified_kfold_determinstic_split |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_errors |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_default_test_size |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_array_api_train_test_split |
27 |
26 |
0 |
4 |
0 |
3% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split |
30 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_32bit_overflow |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_pandas |
11 |
2 |
0 |
2 |
0 |
85% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_sparse |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_mock_pandas |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_list_input |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shufflesplit_errors |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shufflesplit_reproducible |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_stratifiedshufflesplit_list_input |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_allow_nans |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_check_cv |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_cv_iterable_wrapper |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_group_kfold |
49 |
0 |
0 |
22 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_time_series_cv |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
_check_time_series_max_train_size |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_time_series_max_train_size |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_time_series_test_size |
21 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_time_series_gap |
35 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_nested_cv |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_build_repr |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_build_repr.MockSplitter.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_build_repr.MockSplitter.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_shuffle_split_empty_trainset |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_train_test_split_empty_trainset |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_leave_one_out_empty_trainset |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_leave_p_out_empty_trainset |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_random_state_shuffle_false |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_yields_constant_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
test_splitter_get_metadata_routing |
7 |
0 |
0 |
4 |
1 |
91% |
| sklearn/model_selection/tests/test_split.py |
test_splitter_set_split_request |
4 |
0 |
0 |
4 |
1 |
88% |
| sklearn/model_selection/tests/test_split.py |
test_no_group_splitters_warns_with_groups |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_split.py |
(no function) |
139 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
FastClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
FastClassifier.get_params |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
SometimesFailClassifier.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
SometimesFailClassifier.fit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
SometimesFailClassifier.predict |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_nan_handling |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_aggressive_elimination |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_min_max_resources |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_n_iterations |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_resource_parameter |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_random_search |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_random_search_discrete_distributions |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_input_errors |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_input_errors_randomized |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_subsample_splitter_shapes |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_subsample_splitter_determinism |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_top_k |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_cv_results |
34 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_cv_results.scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_base_estimator_inputs |
28 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_base_estimator_inputs.FastClassifierBookKeeping.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_base_estimator_inputs.FastClassifierBookKeeping.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_base_estimator_inputs.FastClassifierBookKeeping.set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_groups_support |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_min_resources_null |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_select_best_index |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
test_halving_random_search_list_of_dicts |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_successive_halving.py |
(no function) |
62 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockImprovingEstimator.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockImprovingEstimator.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockImprovingEstimator.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/tests/test_validation.py |
MockImprovingEstimator.score |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockImprovingEstimator._is_training_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockIncrementalImprovingEstimator.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockIncrementalImprovingEstimator._is_training_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockIncrementalImprovingEstimator.partial_fit |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockEstimatorWithParameter.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockEstimatorWithParameter.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockEstimatorWithParameter.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/tests/test_validation.py |
MockEstimatorWithParameter.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockEstimatorWithParameter._is_training_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockEstimatorWithSingleFitCallAllowed.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockEstimatorWithSingleFitCallAllowed.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/model_selection/tests/test_validation.py |
MockClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockClassifier.fit |
20 |
0 |
0 |
14 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockClassifier.predict |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/model_selection/tests/test_validation.py |
MockClassifier.predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockClassifier.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
MockClassifier.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score |
24 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate_many_jobs |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate_invalid_scoring_param |
21 |
0 |
0 |
16 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate_nested_estimator |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate |
31 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_validate_single_metric |
26 |
0 |
0 |
12 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_validate_multi_metric |
24 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_validate_multi_metric.custom_scorer |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_predict_groups |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_pandas |
12 |
2 |
0 |
6 |
0 |
89% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_mask |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_precomputed |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_fit_params |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_fit_params.assert_fit_params |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_score_func |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_score_func.score_func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_with_score_func_classification |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_with_score_func_regression |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_permutation_score |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_permutation_score.custom_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_permutation_test_score_allow_nans |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_permutation_test_score_fit_params |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_allow_nans |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_multilabel |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict |
29 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict.BadCV.split |
2 |
2 |
0 |
2 |
0 |
0% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_decision_function_shape |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_predict_proba_shape |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_predict_log_proba_shape |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_input_types |
25 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_pandas |
12 |
2 |
0 |
6 |
0 |
89% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_unbalanced |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_y_none |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_sparse_fit_params |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve |
24 |
2 |
0 |
10 |
2 |
88% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_unsupervised |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_verbose |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_incremental_learning_not_possible |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_incremental_learning |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_incremental_learning_unsupervised |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_batch_and_incremental_learning_are_equal |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_n_sample_range_out_of_bounds |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_remove_duplicate_sample_sizes |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_with_boolean_indices |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_with_shuffle |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_params |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_incremental_learning_params |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_validation_curve |
8 |
1 |
0 |
4 |
1 |
83% |
| sklearn/model_selection/tests/test_validation.py |
test_validation_curve_clone_estimator |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_validation_curve_cv_splits_consistency |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_validation_curve_fit_params |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_check_is_permutation |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_sparse_prediction |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_val_predict_binary |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_val_predict_multiclass |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_val_predict_multilabel |
27 |
0 |
0 |
16 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_val_predict_with_method_binary |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
check_cross_val_predict_with_method_multiclass |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_with_method |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_method_checking |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_gridsearchcv_cross_val_predict_with_method |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_with_method_multilabel_ovr |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
RFWithDecisionFunction.decision_function |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_with_method_multilabel_rf |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_with_method_rare_class |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_with_method_multilabel_rf_rare_class |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
get_expected_predictions |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_predict_class_subset |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_score_memmap |
19 |
2 |
0 |
8 |
1 |
89% |
| sklearn/model_selection/tests/test_validation.py |
test_permutation_test_score_pandas |
14 |
2 |
0 |
6 |
0 |
90% |
| sklearn/model_selection/tests/test_validation.py |
test_fit_and_score_failing |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_fit_and_score_working |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
DataDependentFailingClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
DataDependentFailingClassifier.fit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
DataDependentFailingClassifier.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate_some_failing_fits_warning |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate_all_failing_fits_error |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
_failing_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_val_score_failing_scorer |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate_failing_scorer |
20 |
0 |
0 |
16 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
three_params_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_fit_and_score_verbosity |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_score |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_score.two_params_scorer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_callable_multimetric_confusion_matrix_cross_validate |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_callable_multimetric_confusion_matrix_cross_validate.custom_scorer |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_partial_fit_regressors |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_some_failing_fits_warning |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_cross_validate_return_indices |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_fit_param_deprecation |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_groups_with_routing_validation |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_passed_unrequested_metadata |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_validation_functions_routing |
29 |
0 |
0 |
10 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
test_learning_curve_exploit_incremental_learning_routing |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/model_selection/tests/test_validation.py |
(no function) |
184 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_fit_binary |
11 |
1 |
0 |
6 |
1 |
88% |
| sklearn/multiclass.py |
_partial_fit_binary |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_predict_binary |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multiclass.py |
_threshold_for_binary_predict |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multiclass.py |
_ConstantPredictor.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_ConstantPredictor.predict |
3 |
3 |
0 |
0 |
0 |
0% |
| sklearn/multiclass.py |
_ConstantPredictor.decision_function |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_ConstantPredictor.predict_proba |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_estimators_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_estimators_has.check |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.fit |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.partial_fit |
15 |
0 |
0 |
12 |
1 |
96% |
| sklearn/multiclass.py |
OneVsRestClassifier.predict |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.predict_proba |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.decision_function |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.multilabel_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.n_classes_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OneVsRestClassifier.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_fit_ovo_binary |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
_partial_fit_ovo_binary |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier.fit |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier.partial_fit |
15 |
0 |
0 |
10 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier.predict |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier.decision_function |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier.n_classes_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OneVsOneClassifier.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OutputCodeClassifier.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
OutputCodeClassifier.fit |
23 |
0 |
0 |
14 |
0 |
100% |
| sklearn/multiclass.py |
OutputCodeClassifier.predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multiclass.py |
OutputCodeClassifier.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multiclass.py |
(no function) |
70 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
_fit_estimator |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multioutput.py |
_partial_fit_estimator |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/multioutput.py |
_available_if_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
_available_if_estimator_has._check |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/multioutput.py |
_MultiOutputEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
_MultiOutputEstimator.partial_fit |
20 |
3 |
0 |
16 |
3 |
83% |
| sklearn/multioutput.py |
_MultiOutputEstimator.fit |
23 |
1 |
0 |
20 |
1 |
95% |
| sklearn/multioutput.py |
_MultiOutputEstimator.predict |
5 |
1 |
0 |
4 |
1 |
78% |
| sklearn/multioutput.py |
_MultiOutputEstimator._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
_MultiOutputEstimator.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
MultiOutputRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
MultiOutputRegressor.partial_fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
MultiOutputClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
MultiOutputClassifier.fit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multioutput.py |
MultiOutputClassifier._check_predict_proba |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/multioutput.py |
MultiOutputClassifier.predict_proba |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multioutput.py |
MultiOutputClassifier.score |
8 |
1 |
0 |
4 |
1 |
83% |
| sklearn/multioutput.py |
MultiOutputClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
_available_if_base_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
_available_if_base_estimator_has._check |
1 |
0 |
0 |
2 |
1 |
67% |
| sklearn/multioutput.py |
_BaseChain.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
_BaseChain._log_message |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multioutput.py |
_BaseChain._get_predictions |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/multioutput.py |
_BaseChain.fit |
50 |
0 |
0 |
36 |
1 |
99% |
| sklearn/multioutput.py |
_BaseChain.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
ClassifierChain.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
ClassifierChain.fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/multioutput.py |
ClassifierChain.predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
ClassifierChain.predict_log_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
ClassifierChain.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
ClassifierChain.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
ClassifierChain._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
RegressorChain.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
RegressorChain.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
RegressorChain._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/multioutput.py |
(no function) |
69 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseNB._joint_log_likelihood |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseNB._check_X |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseNB.predict_joint_log_proba |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseNB.predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseNB.predict_log_proba |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseNB.predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
GaussianNB.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
GaussianNB.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
GaussianNB._check_X |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
GaussianNB._update_mean_variance |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/naive_bayes.py |
GaussianNB.partial_fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
GaussianNB._partial_fit |
48 |
2 |
0 |
24 |
1 |
96% |
| sklearn/naive_bayes.py |
GaussianNB._joint_log_likelihood |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._count |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._update_feature_log_prob |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._check_X |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._check_X_y |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._update_class_log_prior |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._check_alpha |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB.partial_fit |
25 |
2 |
0 |
10 |
1 |
91% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB.fit |
22 |
0 |
0 |
6 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._init_counters |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
_BaseDiscreteNB._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
MultinomialNB.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
MultinomialNB._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
MultinomialNB._count |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
MultinomialNB._update_feature_log_prob |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
MultinomialNB._joint_log_likelihood |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
ComplementNB.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
ComplementNB._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
ComplementNB._count |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
ComplementNB._update_feature_log_prob |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
ComplementNB._joint_log_likelihood |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
BernoulliNB.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
BernoulliNB._check_X |
4 |
0 |
0 |
2 |
1 |
83% |
| sklearn/naive_bayes.py |
BernoulliNB._check_X_y |
4 |
0 |
0 |
2 |
1 |
83% |
| sklearn/naive_bayes.py |
BernoulliNB._count |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
BernoulliNB._update_feature_log_prob |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
BernoulliNB._joint_log_likelihood |
8 |
1 |
0 |
2 |
1 |
80% |
| sklearn/naive_bayes.py |
CategoricalNB.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB.partial_fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._check_X |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._check_X_y |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._init_counters |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._validate_n_categories |
10 |
1 |
0 |
6 |
1 |
88% |
| sklearn/naive_bayes.py |
CategoricalNB._count |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._count._update_cat_count_dims |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._count._update_cat_count |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._update_feature_log_prob |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
CategoricalNB._joint_log_likelihood |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/naive_bayes.py |
(no function) |
85 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/__init__.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_base.py |
_get_weights |
16 |
0 |
0 |
14 |
1 |
97% |
| sklearn/neighbors/_base.py |
_is_sorted_by_data |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_base.py |
_check_precomputed |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/_base.py |
sort_graph_by_row_values |
26 |
0 |
0 |
16 |
0 |
100% |
| sklearn/neighbors/_base.py |
_kneighbors_from_graph |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/_base.py |
_kneighbors_from_graph.extract |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_base.py |
_radius_neighbors_from_graph |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/_base.py |
NeighborsBase.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_base.py |
NeighborsBase._check_algorithm_metric |
15 |
1 |
0 |
16 |
1 |
94% |
| sklearn/neighbors/_base.py |
NeighborsBase._fit |
105 |
2 |
0 |
70 |
3 |
97% |
| sklearn/neighbors/_base.py |
NeighborsBase._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_base.py |
KNeighborsMixin._kneighbors_reduce_func |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/_base.py |
KNeighborsMixin.kneighbors |
59 |
3 |
0 |
38 |
3 |
94% |
| sklearn/neighbors/_base.py |
KNeighborsMixin.kneighbors_graph |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/_base.py |
RadiusNeighborsMixin._radius_neighbors_reduce_func |
8 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neighbors/_base.py |
RadiusNeighborsMixin.radius_neighbors |
62 |
7 |
0 |
40 |
3 |
88% |
| sklearn/neighbors/_base.py |
RadiusNeighborsMixin.radius_neighbors_graph |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neighbors/_base.py |
(no function) |
51 |
2 |
0 |
4 |
2 |
93% |
| sklearn/neighbors/_classification.py |
_adjusted_metric |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/_classification.py |
KNeighborsClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_classification.py |
KNeighborsClassifier.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_classification.py |
KNeighborsClassifier.predict |
30 |
0 |
0 |
18 |
0 |
100% |
| sklearn/neighbors/_classification.py |
KNeighborsClassifier.predict_proba |
36 |
1 |
0 |
18 |
1 |
96% |
| sklearn/neighbors/_classification.py |
KNeighborsClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_classification.py |
RadiusNeighborsClassifier.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_classification.py |
RadiusNeighborsClassifier.fit |
25 |
0 |
0 |
18 |
0 |
100% |
| sklearn/neighbors/_classification.py |
RadiusNeighborsClassifier.predict |
18 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/_classification.py |
RadiusNeighborsClassifier.predict_proba |
46 |
0 |
0 |
26 |
0 |
100% |
| sklearn/neighbors/_classification.py |
RadiusNeighborsClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_classification.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
_check_params |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/_graph.py |
_query_include_self |
5 |
1 |
0 |
4 |
1 |
78% |
| sklearn/neighbors/_graph.py |
kneighbors_graph |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_graph.py |
radius_neighbors_graph |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_graph.py |
KNeighborsTransformer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
KNeighborsTransformer.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
KNeighborsTransformer.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
KNeighborsTransformer.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
KNeighborsTransformer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
RadiusNeighborsTransformer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
RadiusNeighborsTransformer.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
RadiusNeighborsTransformer.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
RadiusNeighborsTransformer.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
RadiusNeighborsTransformer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_graph.py |
(no function) |
30 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_kde.py |
KernelDensity.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_kde.py |
KernelDensity._choose_algorithm |
8 |
0 |
0 |
8 |
1 |
94% |
| sklearn/neighbors/_kde.py |
KernelDensity.fit |
15 |
0 |
0 |
10 |
2 |
92% |
| sklearn/neighbors/_kde.py |
KernelDensity.score_samples |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_kde.py |
KernelDensity.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_kde.py |
KernelDensity.sample |
19 |
0 |
0 |
8 |
1 |
96% |
| sklearn/neighbors/_kde.py |
KernelDensity._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_kde.py |
(no function) |
24 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor._check_novelty_fit_predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor.fit_predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor.fit |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor._check_novelty_predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor._predict |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor._check_novelty_decision_function |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor._check_novelty_score_samples |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor.score_samples |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor._local_reachability_density |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_lof.py |
LocalOutlierFactor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_lof.py |
(no function) |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis.fit |
32 |
0 |
0 |
16 |
0 |
100% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis._initialize |
38 |
0 |
0 |
26 |
2 |
97% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis._callback |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis._loss_grad_lbfgs |
28 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nca.py |
NeighborhoodComponentsAnalysis._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nca.py |
(no function) |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nearest_centroid.py |
NearestCentroid.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nearest_centroid.py |
NearestCentroid.fit |
45 |
1 |
0 |
18 |
1 |
97% |
| sklearn/neighbors/_nearest_centroid.py |
NearestCentroid.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_nearest_centroid.py |
(no function) |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_regression.py |
KNeighborsRegressor.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_regression.py |
KNeighborsRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_regression.py |
KNeighborsRegressor.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_regression.py |
KNeighborsRegressor.predict |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neighbors/_regression.py |
RadiusNeighborsRegressor.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_regression.py |
RadiusNeighborsRegressor.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_regression.py |
RadiusNeighborsRegressor.predict |
15 |
0 |
0 |
12 |
0 |
100% |
| sklearn/neighbors/_regression.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_unsupervised.py |
NearestNeighbors.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_unsupervised.py |
NearestNeighbors.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/_unsupervised.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
brute_force_neighbors |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_BallTree_is_BallTree64_subclass |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_ball_tree_query_metrics |
14 |
0 |
0 |
4 |
1 |
94% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_query_haversine |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_array_object_type |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_bad_pyfunc_metric |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_bad_pyfunc_metric.wrong_returned_value |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_bad_pyfunc_metric.one_arg_func |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_ball_tree_numerical_consistency |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_kernel_density_numerical_consistency |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
test_two_point_correlation_numerical_consistency |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
get_dataset_for_binary_tree |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_ball_tree.py |
(no function) |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_graph.py |
test_transformer_result |
34 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_graph.py |
_has_explicit_diagonal |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_graph.py |
test_explicit_diagonal |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_graph.py |
test_graph_feature_names_out |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_graph.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kd_tree.py |
test_KDTree_is_KDTree64_subclass |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kd_tree.py |
test_array_object_type |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_kd_tree.py |
test_kdtree_picklable_with_joblib |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_kd_tree.py |
test_kd_tree_numerical_consistency |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_kd_tree.py |
test_kernel_density_numerical_consistency |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kd_tree.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
compute_kernel_slow |
19 |
1 |
0 |
16 |
1 |
94% |
| sklearn/neighbors/tests/test_kde.py |
check_results |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_kernel_density |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_kernel_density_sampling |
20 |
0 |
0 |
10 |
1 |
97% |
| sklearn/neighbors/tests/test_kde.py |
test_kde_algorithm_metric_choice |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_kde_score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_kde_sample_weights_error |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_kde_pipeline_gridsearch |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_kde_sample_weights |
36 |
0 |
0 |
8 |
1 |
98% |
| sklearn/neighbors/tests/test_kde.py |
test_pickling |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_check_is_fitted |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
test_bandwidth |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_kde.py |
(no function) |
30 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof_performance |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof_values |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof_precomputed |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_n_neighbors_attribute |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_score_samples |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_novelty_errors |
17 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_novelty_training_scores |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_hasattr_prediction |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_novelty_true_common_tests |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_predicted_outlier_number |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_sparse |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof_error_n_neighbors_too_large |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof_input_dtype_preservation |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof_dtype_equivalence |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
test_lof_duplicate_samples |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_lof.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_simple_example |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_toy_example_collapse_points |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_toy_example_collapse_points.LossStorer.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_toy_example_collapse_points.LossStorer.callback |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_finite_differences |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_finite_differences.fun |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_finite_differences.grad |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_params_validation |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_transformation_dimensions |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_n_components |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_init_transformation |
31 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_auto_init |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_warm_start_validation |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_warm_start_effectiveness |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_verbose |
22 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_no_verbose |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_singleton_class |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_one_class |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_callback |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_callback.my_cb |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_expected_transformation_shape |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_expected_transformation_shape.TransformationStorer.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_expected_transformation_shape.TransformationStorer.callback |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_convergence_warning |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_parameters_valid_types |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
test_nca_feature_names_out |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_nca.py |
(no function) |
44 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_classification_toy |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_iris |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_iris_shrinkage |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_pickle |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_shrinkage_correct |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_shrinkage_threshold_decoded_y |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_predict_translated_data |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_manhattan_metric |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
test_features_zero_var |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_nearest_centroid.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
_parse_metric |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
_generate_test_params_for |
13 |
0 |
0 |
8 |
1 |
95% |
| sklearn/neighbors/tests/test_neighbors.py |
_weight_func |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_unsupervised_kneighbors |
23 |
2 |
0 |
8 |
1 |
84% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neigh_predictions_algorithm_agnosticity |
24 |
2 |
0 |
14 |
1 |
87% |
| sklearn/neighbors/tests/test_neighbors.py |
test_unsupervised_inputs |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_not_fitted_error_gets_raised |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
check_precomputed |
32 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_dense |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_dense.make_train_test |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_sparse_knn |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_sparse_knn.make_train_test |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_sparse_radius |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_sparse_radius.make_train_test |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_is_sorted_by_data |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_sort_graph_by_row_values |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_sort_graph_by_row_values_copy |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_sort_graph_by_row_values_warning |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_sort_graph_by_row_values_bad_sparse_format |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_sparse_invalid |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_precomputed_cross_validation |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_unsupervised_radius_neighbors |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_classifier |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_classifier_float_labels |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_classifier_predict_proba |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier_when_no_neighbors |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier_outlier_labeling |
55 |
0 |
0 |
12 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier_outlier_labeling.check_array_exception |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier_outlier_labeling.check_dtype_exception |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier_outlier_labeling.check_warning |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier_outlier_labeling.check_exception |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_classifier_zero_distance |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neighbors_regressors_zero_distance |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_boundary_handling |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_returns_array_of_objects |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_query_equidistant_kth_nn |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_sort_results |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_RadiusNeighborsClassifier_multioutput |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_classifier_sparse |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_KNeighborsClassifier_multioutput |
28 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_regressor |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_KNeighborsRegressor_multioutput_uniform_weight |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_regressor_multioutput |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_regressor |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_RadiusNeighborsRegressor_multioutput_with_uniform_weight |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_RadiusNeighborsRegressor_multioutput |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_regressor_sparse |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neighbors_iris |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neighbors_digits |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_graph |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_graph_sparse |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_graph |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_graph_sparse |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neighbors_validate_parameters |
27 |
0 |
0 |
12 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neighbors_minkowski_semimetric_algo_warn |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neighbors_minkowski_semimetric_algo_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_nearest_neighbors_validate_params |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_neighbors_metrics |
36 |
2 |
0 |
16 |
1 |
90% |
| sklearn/neighbors/tests/test_neighbors.py |
test_kneighbors_brute_backend |
20 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_callable_metric |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_callable_metric.custom_metric |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_valid_brute_metric_for_auto_algorithm |
22 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_metric_params_interface |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_predict_sparse_ball_kd_tree |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_non_euclidean_kneighbors |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
check_object_arrays |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_k_and_radius_neighbors_train_is_not_query |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_k_and_radius_neighbors_X_None |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_k_and_radius_neighbors_duplicates |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_include_self_neighbors_graph |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_same_knn_parallel |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_same_radius_neighbors_parallel |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_knn_forcing_backend |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_dtype_convert |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_sparse_metric_callable |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_sparse_metric_callable.sparse_metric |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_pairwise_boolean_distance |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_predict_proba |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_pipeline_with_nearest_neighbors_transformer |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_auto_algorithm |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_radius_neighbors_brute_backend |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_valid_metrics_has_no_duplicate |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_regressor_predict_on_arraylikes |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_regressor_predict_on_arraylikes._weights |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_predict_dataframe |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_nearest_neighbours_works_with_p_less_than_1 |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_KNeighborsClassifier_raise_on_all_zero_weights |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
test_KNeighborsClassifier_raise_on_all_zero_weights._weights |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors.py |
(no function) |
180 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_spectral_clustering |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_spectral_embedding |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_dbscan |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_isomap |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_tsne |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_lof_novelty_false |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_lof_novelty_true |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
test_kneighbors_regressor |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_pipeline.py |
(no function) |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
dist_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
compute_kernel_slow |
15 |
1 |
0 |
12 |
1 |
93% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
brute_force_neighbors |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_kernel_density |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_neighbor_tree_query_radius |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_neighbor_tree_query_radius_distance |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_neighbor_tree_two_point |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_neighbors_heap |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_node_heap |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_simultaneous_sort |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_gaussian_kde |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_nn_tree_query |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
test_pickle |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_neighbors_tree.py |
(no function) |
55 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_quad_tree.py |
test_quadtree_boundary_computation |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_quad_tree.py |
test_quadtree_similar_point |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_quad_tree.py |
test_quad_tree_pickle |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_quad_tree.py |
test_qt_insert_duplicate |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_quad_tree.py |
test_summarize |
25 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neighbors/tests/test_quad_tree.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/__init__.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_identity |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_logistic |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_tanh |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_relu |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_softmax |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_identity_derivative |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_logistic_derivative |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_tanh_derivative |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
inplace_relu_derivative |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
squared_loss |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
log_loss |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/_base.py |
binary_log_loss |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_base.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
_pack |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron.__init__ |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._unpack |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._forward_pass |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._forward_pass_fast |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._compute_loss_grad |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._loss_grad_lbfgs |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._backprop |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._initialize |
25 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._init_coef |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._fit |
28 |
1 |
0 |
19 |
2 |
94% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._fit_lbfgs |
20 |
1 |
0 |
6 |
1 |
92% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._fit_stochastic |
66 |
3 |
0 |
38 |
2 |
95% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._update_no_improvement_count |
17 |
1 |
0 |
16 |
1 |
94% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
BaseMultilayerPerceptron._check_solver |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier._validate_input |
15 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier._predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier._score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier.partial_fit |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier.predict_proba |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPRegressor.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPRegressor._predict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPRegressor._score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPRegressor._validate_input |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
MLPRegressor.partial_fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_multilayer_perceptron.py |
(no function) |
62 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM._mean_hiddens |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM._sample_hiddens |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM._sample_visibles |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM._free_energy |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM.gibbs |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM.partial_fit |
14 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM._fit |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM.score_samples |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM.fit |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
BernoulliRBM._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_rbm.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
BaseOptimizer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
BaseOptimizer.update_params |
3 |
0 |
0 |
3 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
BaseOptimizer.iteration_ends |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
BaseOptimizer.trigger_stopping |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/neural_network/_stochastic_optimizers.py |
SGDOptimizer.__init__ |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
SGDOptimizer.iteration_ends |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
SGDOptimizer.trigger_stopping |
12 |
3 |
0 |
10 |
3 |
73% |
| sklearn/neural_network/_stochastic_optimizers.py |
SGDOptimizer._get_updates |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
AdamOptimizer.__init__ |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
AdamOptimizer._get_updates |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/_stochastic_optimizers.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_base.py |
test_binary_log_loss_1_prob_finite |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_base.py |
test_log_loss_1_prob_finite |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_base.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_alpha |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_fit |
31 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_gradient |
34 |
0 |
0 |
10 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_gradient.loss_grad_fun |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_lbfgs_classification |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_lbfgs_regression |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_lbfgs_classification_maxfun |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_lbfgs_regression_maxfun |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_learning_rate_warmstart |
13 |
0 |
0 |
8 |
1 |
95% |
| sklearn/neural_network/tests/test_mlp.py |
test_multilabel_classification |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_multioutput_regression |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_partial_fit_classes_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_partial_fit_classification |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_partial_fit_unseen_classes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_partial_fit_regression |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_partial_fit_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_nonfinite_params |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_predict_proba_binary |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_predict_proba_multiclass |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_predict_proba_multilabel |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_shuffle |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_sparse_matrices |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_tolerance |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_verbose_sgd |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_early_stopping |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_adaptive_learning_rate |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_warm_start |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_warm_start_full_iteration |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_n_iter_no_change |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_n_iter_no_change_inf |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_early_stopping_stratified |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_mlp_classifier_dtypes_casting |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_mlp_regressor_dtypes_casting |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_mlp_param_dtypes |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_mlp_loading_from_joblib_partial_fit |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_preserve_feature_names |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_mlp_warm_start_with_early_stopping |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_mlp_warm_start_no_convergence |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
test_mlp_partial_fit_after_fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_mlp.py |
(no function) |
83 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_fit |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_partial_fit |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_small_sparse |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_small_sparse_partial_fit |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_sample_hiddens |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_fit_gibbs |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_gibbs_smoke |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_score_samples |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_rbm_verbose |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_sparse_and_verbose |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_transformer_dtypes_casting |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_convergence_dtype_consistency |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
test_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_rbm.py |
(no function) |
34 |
0 |
0 |
0 |
0 |
100% |
| sklearn/neural_network/tests/test_stochastic_optimizers.py |
test_base_optimizer |
3 |
0 |
0 |
3 |
0 |
100% |
| sklearn/neural_network/tests/test_stochastic_optimizers.py |
test_sgd_optimizer_no_momentum |
9 |
0 |
0 |
11 |
0 |
100% |
| sklearn/neural_network/tests/test_stochastic_optimizers.py |
test_sgd_optimizer_momentum |
13 |
0 |
0 |
14 |
0 |
100% |
| sklearn/neural_network/tests/test_stochastic_optimizers.py |
test_sgd_optimizer_trigger_stopping |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/neural_network/tests/test_stochastic_optimizers.py |
test_sgd_optimizer_nesterovs_momentum |
14 |
0 |
0 |
16 |
0 |
100% |
| sklearn/neural_network/tests/test_stochastic_optimizers.py |
test_adam_optimizer |
22 |
0 |
0 |
22 |
0 |
100% |
| sklearn/neural_network/tests/test_stochastic_optimizers.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
_final_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
_final_estimator_has.check |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.set_output |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._validate_steps |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._iter |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.__len__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.__getitem__ |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._estimator_type |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.named_steps |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._final_estimator |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._log_message |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._check_method_params |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._fit |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.fit |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._can_fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.fit_transform |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.predict |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.fit_predict |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.predict_proba |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.decision_function |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.score_samples |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.predict_log_proba |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._can_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._can_inverse_transform |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.inverse_transform |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.score |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.classes_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._more_tags |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.get_feature_names_out |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.n_features_in_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.feature_names_in_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.__sklearn_is_fitted__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._sk_visual_block_ |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline._sk_visual_block_._get_name |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
Pipeline.get_metadata_routing |
18 |
3 |
0 |
8 |
3 |
77% |
| sklearn/pipeline.py |
_name_estimators |
13 |
0 |
0 |
12 |
0 |
100% |
| sklearn/pipeline.py |
make_pipeline |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
_transform_one |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/pipeline.py |
_fit_transform_one |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
_fit_one |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.set_output |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.named_transformers |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._validate_transformers |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._validate_transformer_weights |
6 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._iter |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.get_feature_names_out |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._add_prefix_for_feature_names_out |
12 |
0 |
0 |
14 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.fit |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.fit_transform |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._log_message |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._parallel_func |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.transform |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._hstack |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._update_transformer_list |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.n_features_in_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.feature_names_in_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.__sklearn_is_fitted__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion._sk_visual_block_ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.__getitem__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
FeatureUnion.get_metadata_routing |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/pipeline.py |
make_union |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/pipeline.py |
(no function) |
113 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/__init__.py |
(no function) |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
_is_constant_feature |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
_handle_zeros_in_scale |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/_data.py |
scale |
31 |
0 |
0 |
22 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MinMaxScaler.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MinMaxScaler._reset |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MinMaxScaler.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MinMaxScaler.partial_fit |
22 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MinMaxScaler.transform |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MinMaxScaler.inverse_transform |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MinMaxScaler._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
minmax_scale |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
StandardScaler.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
StandardScaler._reset |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
StandardScaler.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
StandardScaler.partial_fit |
43 |
0 |
0 |
24 |
1 |
99% |
| sklearn/preprocessing/_data.py |
StandardScaler.transform |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/_data.py |
StandardScaler.inverse_transform |
13 |
0 |
0 |
10 |
1 |
96% |
| sklearn/preprocessing/_data.py |
StandardScaler._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MaxAbsScaler.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MaxAbsScaler._reset |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MaxAbsScaler.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MaxAbsScaler.partial_fit |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MaxAbsScaler.transform |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MaxAbsScaler.inverse_transform |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
MaxAbsScaler._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
maxabs_scale |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
RobustScaler.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
RobustScaler.fit |
26 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/_data.py |
RobustScaler.transform |
10 |
0 |
0 |
8 |
2 |
89% |
| sklearn/preprocessing/_data.py |
RobustScaler.inverse_transform |
10 |
0 |
0 |
8 |
2 |
89% |
| sklearn/preprocessing/_data.py |
RobustScaler._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
robust_scale |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
normalize |
33 |
0 |
0 |
24 |
2 |
96% |
| sklearn/preprocessing/_data.py |
Normalizer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
Normalizer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
Normalizer.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
Normalizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
binarize |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_data.py |
Binarizer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
Binarizer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
Binarizer.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
Binarizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
KernelCenterer.fit |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
KernelCenterer.transform |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
KernelCenterer._n_features_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
KernelCenterer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
add_dummy_feature |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer._dense_fit |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer._sparse_fit |
20 |
1 |
0 |
10 |
1 |
93% |
| sklearn/preprocessing/_data.py |
QuantileTransformer.fit |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer._transform_col |
35 |
0 |
0 |
20 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer._check_inputs |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer._transform |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer.inverse_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
QuantileTransformer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
quantile_transform |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer._fit |
24 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer.transform |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer.inverse_transform |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer._box_cox_inverse_tranform |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer._yeo_johnson_inverse_transform |
9 |
2 |
0 |
4 |
2 |
69% |
| sklearn/preprocessing/_data.py |
PowerTransformer._yeo_johnson_transform |
9 |
1 |
0 |
4 |
1 |
85% |
| sklearn/preprocessing/_data.py |
PowerTransformer._box_cox_optimize |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer._yeo_johnson_optimize |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer._yeo_johnson_optimize._neg_log_likelihood |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_data.py |
PowerTransformer._check_input |
8 |
1 |
0 |
6 |
1 |
86% |
| sklearn/preprocessing/_data.py |
PowerTransformer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
power_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_data.py |
(no function) |
124 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_discretization.py |
KBinsDiscretizer.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_discretization.py |
KBinsDiscretizer.fit |
50 |
0 |
0 |
30 |
1 |
99% |
| sklearn/preprocessing/_discretization.py |
KBinsDiscretizer._validate_n_bins |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/_discretization.py |
KBinsDiscretizer.transform |
16 |
0 |
0 |
6 |
1 |
95% |
| sklearn/preprocessing/_discretization.py |
KBinsDiscretizer.inverse_transform |
13 |
1 |
0 |
6 |
1 |
89% |
| sklearn/preprocessing/_discretization.py |
KBinsDiscretizer.get_feature_names_out |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_discretization.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._check_X |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._fit |
58 |
1 |
0 |
40 |
1 |
98% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._transform |
27 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder.infrequent_categories_ |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._check_infrequent_enabled |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._identify_infrequent |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._fit_infrequent_category_mapping |
24 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._map_infrequent_categories |
17 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
_BaseEncoder._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder._map_drop_idx_to_infrequent |
10 |
1 |
0 |
6 |
1 |
88% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder._set_drop_idx |
45 |
4 |
0 |
38 |
4 |
88% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder._compute_transformed_categories |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder._remove_dropped_categories |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder._compute_n_features_outs |
12 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder.transform |
29 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder.inverse_transform |
46 |
0 |
0 |
28 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder.get_feature_names_out |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OneHotEncoder._check_get_feature_name_combiner |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OrdinalEncoder.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OrdinalEncoder.fit |
32 |
3 |
0 |
40 |
3 |
92% |
| sklearn/preprocessing/_encoders.py |
OrdinalEncoder.transform |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
OrdinalEncoder.inverse_transform |
44 |
0 |
0 |
24 |
0 |
100% |
| sklearn/preprocessing/_encoders.py |
(no function) |
46 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
_identity |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer.__init__ |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer._check_input |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer._check_inverse_transform |
10 |
0 |
0 |
9 |
1 |
95% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer.fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer.transform |
20 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer.inverse_transform |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer.get_feature_names_out |
8 |
1 |
0 |
6 |
2 |
79% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer._transform |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer.__sklearn_is_fitted__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
FunctionTransformer.set_output |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_function_transformer.py |
(no function) |
23 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelEncoder.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelEncoder.fit_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelEncoder.transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelEncoder.inverse_transform |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelEncoder._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelBinarizer.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelBinarizer.fit |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelBinarizer.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
LabelBinarizer.transform |
5 |
1 |
0 |
2 |
1 |
71% |
| sklearn/preprocessing/_label.py |
LabelBinarizer.inverse_transform |
11 |
0 |
0 |
8 |
1 |
95% |
| sklearn/preprocessing/_label.py |
LabelBinarizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
label_binarize |
65 |
2 |
0 |
44 |
2 |
96% |
| sklearn/preprocessing/_label.py |
_inverse_binarize_multiclass |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_label.py |
_inverse_binarize_thresholding |
24 |
1 |
0 |
20 |
1 |
95% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer.fit |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer.fit_transform |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer.transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer._build_cache |
3 |
0 |
0 |
2 |
1 |
80% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer._transform |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer.inverse_transform |
12 |
1 |
0 |
12 |
1 |
83% |
| sklearn/preprocessing/_label.py |
MultiLabelBinarizer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_label.py |
(no function) |
47 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
print_coverage |
6 |
4 |
0 |
2 |
1 |
38% |
| sklearn/preprocessing/_polynomial.py |
_create_expansion |
17 |
0 |
0 |
4 |
1 |
95% |
| sklearn/preprocessing/_polynomial.py |
PolynomialFeatures.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
PolynomialFeatures._combinations |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
PolynomialFeatures._num_combinations |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
PolynomialFeatures.powers_ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
PolynomialFeatures.get_feature_names_out |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
PolynomialFeatures.fit |
21 |
1 |
0 |
14 |
1 |
94% |
| sklearn/preprocessing/_polynomial.py |
PolynomialFeatures.transform |
72 |
0 |
1 |
44 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
SplineTransformer.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
SplineTransformer._get_base_knot_positions |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
SplineTransformer.get_feature_names_out |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
SplineTransformer.fit |
50 |
0 |
0 |
22 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
SplineTransformer.transform |
97 |
4 |
0 |
62 |
3 |
96% |
| sklearn/preprocessing/_polynomial.py |
SplineTransformer._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_polynomial.py |
(no function) |
42 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder.fit_transform |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder.transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder._fit_encodings_all |
28 |
0 |
0 |
12 |
1 |
98% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder._fit_encoding_binary_or_continuous |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder._fit_encoding_multiclass |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder._transform_X_ordinal |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder.get_feature_names_out |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
TargetEncoder._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/_target_encoder.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_common.py |
_get_valid_samples_by_column |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_common.py |
test_missing_value_handling |
56 |
0 |
0 |
24 |
0 |
100% |
| sklearn/preprocessing/tests/test_common.py |
test_missing_value_pandas_na_support |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_common.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
toarray |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
_check_dim_1axis |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
assert_correct_incr |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_raises_value_error_if_sample_weights_greater_than_1d |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_sample_weight |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_1d |
26 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_dtype |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_constant_features |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_near_constant_features |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scale_1d |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_numerical_stability |
25 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_2d_arrays |
37 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_float16_overflow |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_handle_zeros_in_scale |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_minmax_scaler_partial_fit |
27 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_partial_fit |
24 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_partial_fit_numerical_stability |
27 |
1 |
0 |
6 |
1 |
94% |
| sklearn/preprocessing/tests/test_data.py |
test_partial_fit_sparse_input |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_trasform_with_partial_fit |
24 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_check_array_of_inverse_transform |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_array_api_compliance |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_min_max_scaler_iris |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_min_max_scaler_zero_variance_features |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_minmax_scale_axis1 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_min_max_scaler_1d |
23 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_without_centering |
40 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_n_samples_seen_with_nan |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
_check_identity_scalers_attributes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_return_identity |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_int |
37 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scaler_without_copy |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scale_sparse_with_mean_raise_exception |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scale_input_finiteness_validation |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_error_sparse |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_attributes |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_col_zero_sparse |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_2d_arrays |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_equivalence_dense_sparse |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_transform_one_row_csr |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_iris |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_iris_quantiles |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_iris |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_check_error |
28 |
0 |
0 |
12 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_sparse_ignore_zeros |
29 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_dense_toy |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_subsampling |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_subsampling_disabled |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_sparse_toy |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_axis1 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_bounds |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_and_inverse |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transform_nan |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_quantile_transformer_sorted_quantiles |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_invalid_range |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_scale_function_without_centering |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scale_axis1 |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scale_1d_array |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_zero_variance_features |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_robust_scaler_unit_variance |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_maxabs_scaler_zero_variance_features |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_maxabs_scaler_large_negative_value |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_maxabs_scaler_transform_one_row_csr |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_maxabs_scaler_1d |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_maxabs_scaler_partial_fit |
35 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
check_normalizer |
14 |
0 |
0 |
12 |
1 |
96% |
| sklearn/preprocessing/tests/test_data.py |
test_normalizer_l1_l2_max |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_normalizer_l1_l2_max_non_csr |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_normalizer_max_sign |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_normalize |
32 |
0 |
0 |
18 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_binarizer |
41 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_center_kernel |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_kernelcenterer_non_linear_kernel |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_kernelcenterer_non_linear_kernel.phi |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_cv_pipeline_precomputed |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_fit_transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_add_dummy_feature |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_add_dummy_feature_sparse |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_fit_cold_start |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_notfitted |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_inverse |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_1d |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_2d |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_boxcox_strictly_positive_exception |
16 |
0 |
0 |
12 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_yeojohnson_any_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_shape_exception |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_lambda_zero |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_lambda_one |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_optimization_power_transformer |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_yeo_johnson_darwin_example |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_nans |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_fit_transform |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_copy_True |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_copy_False |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_box_cox_raise_all_nans_col |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_sparse_partial_fit_finite_variance |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_minmax_scaler_clip |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_standard_scaler_raise_error_for_1d_input |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_significantly_non_gaussian |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_one_to_one_features |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_one_to_one_features_pandas |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_kernel_centerer_feature_names_out |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
test_power_transformer_constant_feature |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_data.py |
(no function) |
207 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_fit_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_valid_n_bins |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_kbinsdiscretizer_wrong_strategy_with_weights |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_invalid_n_bins_array |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_fit_transform_n_bins_array |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_kbinsdiscretizer_effect_sample_weight |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_kbinsdiscretizer_no_mutating_sample_weight |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_same_min_max |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_transform_1d_behavior |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_numeric_stability |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_encode_options |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_nonuniform_strategies |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_inverse_transform |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_transform_outside_fit_range |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_overwrite |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_redundant_bins |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_percentile_numeric_stability |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_consistent_dtype |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_32_equal_64 |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_kbinsdiscretizer_subsample_default |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_kbinsdiscrtizer_get_feature_names_out |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_kbinsdiscretizer_subsample |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
test_KBD_inverse_transform_Xt_deprecation |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_discretization.py |
(no function) |
50 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_sparse_dense |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_handle_unknown |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_handle_unknown_strings |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_dtype |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_dtype_pandas |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_feature_names |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_feature_names_unicode |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_custom_feature_name_combiner |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_custom_feature_name_combiner.name_combiner |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_custom_feature_name_combiner.wrong_combiner |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_set_params |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
check_categorical_onehot |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_inverse |
28 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_inverse_transform_raise_error_with_unknown |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_inverse_if_binary |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_drop_reset |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_X_is_not_1D |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_X_is_not_1D_pandas |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_categories |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_specified_categories |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_unsorted_categories |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_encoder_nan_ending_specified_categories |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_specified_categories_mixed_columns |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_pandas |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_feature_names_drop |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_drop_equals_if_binary |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_specified_categories |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_inverse |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_handle_unknowns_string |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_handle_unknowns_numeric |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_handle_unknowns_nan |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_handle_unknowns_nan_non_float_dtype |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_raise_categories_shape |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_encoder_dtypes |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_encoder_dtypes_pandas |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_warning |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_drop_manual |
20 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_invalid_drop_length |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_categories |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_encoders_has_categorical_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_two_levels |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_two_levels_drop_frequent |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_two_levels_drop_infrequent_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_three_levels |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_three_levels_drop_frequent |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_three_levels_drop_infrequent_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_handle_unknown_error |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_two_levels_user_cats_one_frequent |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_two_levels_user_cats |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_three_levels_user_cats |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_mixed |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_multiple_categories |
27 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_multiple_categories_dtypes |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_one_level_errors |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_infrequent_user_cats_unknown_training_errors |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_encoders_string_categories |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_mixed_string_bytes_categoricals |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_missing_values_get_feature_names |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_missing_value_support_pandas |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_missing_value_support_pandas_categorical |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_drop_first_handle_unknown_ignore_warns |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_drop_if_binary_handle_unknown_ignore_warns |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_drop_first_explicit_categories |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ohe_more_informative_error_message |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_passthrough_missing_values_float_errors_dtype |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_passthrough_missing_values_float |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_missing_value_support_pandas_categorical |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_specified_categories_missing_passthrough |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_encoder_duplicate_specified_categories |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_handle_missing_and_unknown |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_sparse |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_fit_with_unseen_category |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_handle_unknown_string_dtypes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_python_integer |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_features_names_out_pandas |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_unknown_missing_interaction |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_encoded_missing_value_error |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_unknown_missing_interaction_both_nan |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_one_hot_encoder_set_output |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_set_output |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_predefined_categories_dtype |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_missing_unknown_encoding_max |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_drop_idx_infrequent_categories |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_infrequent_three_levels |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_infrequent_three_levels_user_cats |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_infrequent_mixed |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_infrequent_multiple_categories_dtypes |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_infrequent_custom_mapping |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_all_frequent |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_all_infrequent |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_missing_appears_frequent |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_ordinal_encoder_missing_appears_infrequent |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
test_encoder_not_fitted |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_encoders.py |
(no function) |
164 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
_make_func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
_make_func._func |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_delegate_to_func |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_np_log |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_kw_arg |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_kw_arg_update |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_kw_arg_reset |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_inverse_transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_check_inverse |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_check_inverse_func_or_inverse_not_provided |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_frame |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_raise_error_with_mixed_dtype |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_raise_error_with_mixed_dtype.func |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_raise_error_with_mixed_dtype.inverse_func |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_support_all_nummerical_dataframes_check_inverse_True |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_with_dataframe_and_check_inverse_True |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_get_feature_names_out |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_get_feature_names_out_without_validation |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_feature_names_out_is_None |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_feature_names_out_uses_estimator |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_feature_names_out_uses_estimator.add_n_random_features |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_feature_names_out_uses_estimator.feature_names_out |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_validate_inverse |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_validate_inverse.add_constant_feature |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_validate_inverse.inverse_add_constant |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_get_feature_names_out_dataframe_with_string_data |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_get_feature_names_out_dataframe_with_string_data.func |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_set_output_func |
26 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_consistence_column_name_between_steps |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_consistence_column_name_between_steps.with_suffix |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_overwrite_column_names |
11 |
0 |
0 |
2 |
1 |
92% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_overwrite_column_names.with_suffix |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_overwrite_column_names_numerical |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_error_column_inconsistent |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
test_function_transformer_error_column_inconsistent.func |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_function_transformer.py |
(no function) |
42 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
toarray |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarizer |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarizer_unseen_labels |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarizer_set_label_encoding |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarizer_pandas_nullable |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarizer_errors |
37 |
0 |
0 |
20 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarizer_sparse_errors |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_encoder |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_encoder_negative_ints |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_encoder_str_bad_shape |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_encoder_errors |
15 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_encoder_empty_array |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_sparse_output_multilabel_binarizer |
23 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_sparse_output_multilabel_binarizer_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_empty_sample |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_unknown_class |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_given_classes |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_multiple_calls |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_same_length_sequence |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_non_integer_labels |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_non_unique |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_multilabel_binarizer_inverse_validation |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarize_with_class_order |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
check_binarized_results |
20 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarize_binary |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarize_multiclass |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_binarize_multilabel |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_invalid_input_label_binarize |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_inverse_binarize_multiclass |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_nan_label_encoder |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_encoders_do_not_have_set_output |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_label.py |
test_label_encoder_array_api_compliance |
24 |
23 |
0 |
2 |
0 |
4% |
| sklearn/preprocessing/tests/test_label.py |
(no function) |
57 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_with_sample_weight |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_periodic_extrapolation_error |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_and_spline_array_order |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_and_spline_array_order.is_c_contiguous |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_input_validation |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_integer_knots |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_feature_names |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_split_transform_feature_names_extrapolation_degree |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_unity_decomposition |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_linear_regression |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_get_base_knot_positions |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_periodic_linear_regression |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_periodic_linear_regression.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_periodic_spline_backport |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_periodic_splines_periodicity |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_periodic_splines_smoothness |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_extrapolation |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_kbindiscretizer |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_sparse_output |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_sparse_output_raise_error_for_old_scipy |
3 |
1 |
0 |
2 |
2 |
40% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_spline_transformer_n_features_out |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_input_validation |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
single_feature_degree3 |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_one_feature |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
two_features_degree3 |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_two_features |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_feature_names |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_csc_X |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_csr_X |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_num_combinations |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_csr_X_floats |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_csr_X_zero_row |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_csr_X_degree_4 |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_csr_X_dim_edges |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_csr_polynomial_expansion_index_overflow_non_regression |
47 |
0 |
0 |
10 |
1 |
98% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_csr_polynomial_expansion_index_overflow_non_regression.degree_2_calc |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_csr_polynomial_expansion_index_overflow |
45 |
13 |
5 |
14 |
2 |
68% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_csr_polynomial_expansion_too_large_to_index |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_polynomial_features_behaviour_on_zero_degree |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_sizeof_LARGEST_INT_t |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/preprocessing/tests/test_polynomial.py |
test_csr_polynomial_expansion_windows_fail |
16 |
3 |
0 |
6 |
1 |
73% |
| sklearn/preprocessing/tests/test_polynomial.py |
(no function) |
117 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
_encode_target |
21 |
0 |
0 |
8 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_encoding |
47 |
0 |
0 |
10 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_encoding_multiclass |
58 |
0 |
0 |
22 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_custom_categories |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_errors |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_use_regression_target |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_feature_names_out_set_output |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_multiple_features_quick |
39 |
0 |
0 |
14 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_constant_target_and_feature |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_fit_transform_not_associated_with_y_if_ordinal_categorical_is_not |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_smooth_zero |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_invariance_of_encoding_under_label_permutation |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_target_encoding_for_linear_regression |
30 |
0 |
0 |
0 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
test_pandas_copy_on_write |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/preprocessing/tests/test_target_encoder.py |
(no function) |
40 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
johnson_lindenstrauss_min_dim |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/random_projection.py |
_check_density |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/random_projection.py |
_check_input_size |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/random_projection.py |
_gaussian_random_matrix |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
_sparse_random_matrix |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/random_projection.py |
BaseRandomProjection.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
BaseRandomProjection._make_random_matrix |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
BaseRandomProjection._compute_inverse_components |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/random_projection.py |
BaseRandomProjection.fit |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/random_projection.py |
BaseRandomProjection.inverse_transform |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/random_projection.py |
BaseRandomProjection._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
GaussianRandomProjection.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
GaussianRandomProjection._make_random_matrix |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
GaussianRandomProjection.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
SparseRandomProjection.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
SparseRandomProjection._make_random_matrix |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
SparseRandomProjection.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/random_projection.py |
(no function) |
40 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/__init__.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
BaseLabelPropagation.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
BaseLabelPropagation._get_kernel |
14 |
0 |
0 |
14 |
1 |
96% |
| sklearn/semi_supervised/_label_propagation.py |
BaseLabelPropagation._build_graph |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/semi_supervised/_label_propagation.py |
BaseLabelPropagation.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
BaseLabelPropagation.predict_proba |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
BaseLabelPropagation.fit |
40 |
0 |
0 |
12 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
LabelPropagation.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
LabelPropagation._build_graph |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
LabelPropagation.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
LabelSpreading.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
LabelSpreading._build_graph |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/semi_supervised/_label_propagation.py |
(no function) |
37 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
_estimator_has |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
_estimator_has.check |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
SelfTrainingClassifier.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
SelfTrainingClassifier.fit |
41 |
0 |
0 |
20 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
SelfTrainingClassifier.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
SelfTrainingClassifier.predict_proba |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
SelfTrainingClassifier.decision_function |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
SelfTrainingClassifier.predict_log_proba |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
SelfTrainingClassifier.score |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/_self_training.py |
(no function) |
27 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_fit_transduction |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_distribution |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_predict_proba |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_label_spreading_closed_form |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_label_propagation_closed_form |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_sparse_input_types |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_convergence_speed |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_convergence_warning |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_label_propagation_non_zero_normalizer |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_predict_sparse_callable_kernel |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
test_predict_sparse_callable_kernel.topk_rbf |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_label_propagation.py |
(no function) |
36 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_warns_k_best |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_classification |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_k_best |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_sanity_classification |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_none_iter |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_zero_iterations |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_prefitted_throws_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_labeled_iter |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_no_unlabeled |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_early_stopping |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_strings_dtype |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_verbose |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_verbose_k_best |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_k_best_selects_best |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_base_estimator_meta_estimator |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
test_self_training_estimator_attribute_error |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/semi_supervised/tests/test_self_training.py |
(no function) |
43 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/__init__.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
_one_vs_one_coef |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM.__init__ |
17 |
1 |
0 |
2 |
1 |
89% |
| sklearn/svm/_base.py |
BaseLibSVM._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM.fit |
49 |
2 |
0 |
28 |
4 |
92% |
| sklearn/svm/_base.py |
BaseLibSVM._validate_targets |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._warn_from_fit_status |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._dense_fit |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._sparse_fit |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._dense_predict |
10 |
1 |
0 |
6 |
1 |
88% |
| sklearn/svm/_base.py |
BaseLibSVM._sparse_predict |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/svm/_base.py |
BaseLibSVM._compute_kernel |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._decision_function |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._dense_decision_function |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._sparse_decision_function |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/svm/_base.py |
BaseLibSVM._validate_for_predict |
16 |
1 |
0 |
14 |
1 |
93% |
| sklearn/svm/_base.py |
BaseLibSVM.coef_ |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM._get_coef |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
BaseLibSVM.n_support_ |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC._validate_targets |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC.decision_function |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC.predict |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC._check_proba |
5 |
1 |
0 |
4 |
1 |
78% |
| sklearn/svm/_base.py |
BaseSVC.predict_proba |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC.predict_log_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC._dense_predict_proba |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC._sparse_predict_proba |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/svm/_base.py |
BaseSVC._get_coef |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC.probA_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
BaseSVC.probB_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_base.py |
_get_liblinear_solver_type |
16 |
2 |
0 |
10 |
2 |
85% |
| sklearn/svm/_base.py |
_fit_liblinear |
37 |
1 |
0 |
16 |
1 |
96% |
| sklearn/svm/_base.py |
(no function) |
67 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/_bounds.py |
l1_min_c |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/svm/_bounds.py |
(no function) |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
_validate_dual_parameter |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_classes.py |
LinearSVC.__init__ |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
LinearSVC.fit |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/_classes.py |
LinearSVC._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
LinearSVR.__init__ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
LinearSVR.fit |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
LinearSVR._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
SVC.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
SVC._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
NuSVC.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
NuSVC._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
SVR.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
SVR._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
NuSVR.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
NuSVR._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
OneClassSVM.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
OneClassSVM.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
OneClassSVM.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
OneClassSVM.score_samples |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
OneClassSVM.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
OneClassSVM._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/_classes.py |
(no function) |
56 |
0 |
0 |
6 |
0 |
100% |
| sklearn/svm/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
test_l1_min_c |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
check_l1_min_c |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
test_ill_posed_min_c |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
test_newrand_default |
3 |
0 |
0 |
6 |
1 |
89% |
| sklearn/svm/tests/test_bounds.py |
test_newrand_set_seed |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
test_newrand_set_seed_overflow |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
test_newrand_bounded_rand_int |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
test_newrand_bounded_rand_int_limits |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_bounds.py |
(no function) |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
check_svm_model_equal |
24 |
3 |
0 |
10 |
2 |
79% |
| sklearn/svm/tests/test_sparse.py |
test_svc |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_unsorted_indices |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_unsorted_indices.scramble_indices |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_svc_with_custom_kernel |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_svc_with_custom_kernel.kfunc |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_svc_iris |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_sparse_decision_function |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_linearsvc |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_linearsvc_iris |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_weight |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_sample_weights |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_sparse_liblinear_intercept_handling |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_sparse_oneclasssvm |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_sparse_realdata |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_sparse_svc_clone_with_callable_kernel |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_timeout |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
test_consistent_proba |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_sparse.py |
(no function) |
63 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_libsvm_parameters |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_libsvm_iris |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_precomputed |
45 |
0 |
0 |
10 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_precomputed.kfunc |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svr |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvr |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvr_fit_sampleweight |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svr_errors |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_oneclass |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_oneclass_decision_function |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_oneclass_score_samples |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_tweak_params |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_probability |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_decision_function |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_decision_function_shape |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svr_predict |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_weight |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svm_classifier_sided_sample_weight |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svm_regressor_sided_sample_weight |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svm_equivalence_sample_weight_C |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_negative_sample_weights_mask_all_samples |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_negative_weights_svc_leave_just_one_label |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_negative_weights_svc_leave_two_labels |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_negative_weight_equal_coeffs |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_auto_weight |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_bad_input |
26 |
0 |
0 |
12 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svc_nonfinite_params |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_unicode_kernel |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_sparse_precomputed |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_sparse_fit_support_vectors_empty |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvc_parameters |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvc |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvc_crammer_singer |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvc_fit_sampleweight |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_crammer_singer_binary |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvc_iris |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_dense_liblinear_intercept_handling |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_liblinear_set_coef |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_immutable_coef_property |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvc_verbose |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svc_clone_with_callable_kernel |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svc_bad_kernel |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_libsvm_convergence_warnings |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_unfitted |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_consistent_proba |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linear_svm_convergence_warnings |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svr_coef_sign |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_lsvc_intercept_scaling_zero |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_hasattr_predict_proba |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_decision_function_shape_two_class |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_ovr_decision_function |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svc_invalid_break_ties_param |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svc_ovr_tie_breaking |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_gamma_scale |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_linearsvm_liblinear_sample_weight |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_n_support |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_custom_kernel_not_array_input |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_custom_kernel_not_array_input.string_kernel |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_svc_raises_error_internal_representation |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_n_iter_libsvm |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_dual_auto |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
test_dual_auto_edge_cases |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/svm/tests/test_svm.py |
(no function) |
112 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
record_metadata |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
check_recorded_metadata |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
assert_request_is_empty |
14 |
0 |
0 |
12 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
assert_request_equal |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
_Registry.__deepcopy__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
_Registry.__copy__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingRegressor.partial_fit |
4 |
0 |
0 |
2 |
1 |
83% |
| sklearn/tests/metadata_routing_common.py |
ConsumingRegressor.fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingRegressor.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingRegressor.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingClassifier.partial_fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingClassifier.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingClassifier.predict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingRegressor.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingRegressor.partial_fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
NonConsumingRegressor.predict |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingClassifier.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingClassifier.partial_fit |
5 |
0 |
0 |
2 |
1 |
86% |
| sklearn/tests/metadata_routing_common.py |
ConsumingClassifier.fit |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingClassifier.predict |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingClassifier.predict_proba |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingClassifier.predict_log_proba |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingClassifier.decision_function |
5 |
0 |
0 |
0 |
0 |
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| sklearn/tests/metadata_routing_common.py |
ConsumingTransformer.__init__ |
1 |
0 |
0 |
0 |
0 |
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| sklearn/tests/metadata_routing_common.py |
ConsumingTransformer.fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingTransformer.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingTransformer.fit_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingTransformer.inverse_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingNoFitTransformTransformer.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingNoFitTransformTransformer.fit |
4 |
0 |
0 |
2 |
1 |
83% |
| sklearn/tests/metadata_routing_common.py |
ConsumingNoFitTransformTransformer.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingScorer.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingScorer._score |
5 |
0 |
0 |
2 |
1 |
86% |
| sklearn/tests/metadata_routing_common.py |
ConsumingSplitter.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingSplitter.split |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingSplitter.get_n_splits |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
ConsumingSplitter._iter_test_indices |
5 |
5 |
0 |
0 |
0 |
0% |
| sklearn/tests/metadata_routing_common.py |
MetaRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
MetaRegressor.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
MetaRegressor.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
WeightedMetaRegressor.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
WeightedMetaRegressor.fit |
6 |
0 |
0 |
2 |
0 |
100% |
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WeightedMetaRegressor.predict |
2 |
0 |
0 |
0 |
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100% |
| sklearn/tests/metadata_routing_common.py |
WeightedMetaRegressor.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
WeightedMetaClassifier.__init__ |
2 |
0 |
0 |
0 |
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WeightedMetaClassifier.fit |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
WeightedMetaClassifier.get_metadata_routing |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
MetaTransformer.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
MetaTransformer.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
MetaTransformer.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
MetaTransformer.get_metadata_routing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/metadata_routing_common.py |
(no function) |
78 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/random_seed.py |
XDistHooks.pytest_configure_node |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/tests/random_seed.py |
pytest_configure |
23 |
12 |
0 |
14 |
3 |
38% |
| sklearn/tests/random_seed.py |
pytest_configure.GlobalRandomSeedPlugin.global_random_seed |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/random_seed.py |
pytest_report_header |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/tests/random_seed.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
MyEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
K.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
T.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
NaNTag._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
NoNaNTag._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
OverrideTag._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
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DiamondOverwriteTag._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
ModifyInitParams.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
Buggy.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
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NoEstimator.__init__ |
1 |
0 |
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0 |
0 |
100% |
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NoEstimator.fit |
1 |
1 |
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0 |
0 |
0% |
| sklearn/tests/test_base.py |
NoEstimator.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_base.py |
VargEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
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test_clone |
8 |
0 |
0 |
0 |
0 |
100% |
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test_clone_2 |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_buggy |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_empty_array |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_nan |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_dict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_sparse_matrices |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_estimator_types |
3 |
0 |
0 |
0 |
0 |
100% |
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test_clone_class_rather_than_instance |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
test_repr |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_str |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_get_params |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
test_is_classifier |
1 |
0 |
0 |
0 |
0 |
100% |
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test_is_regressor |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_is_clusterer |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_set_params |
5 |
0 |
0 |
4 |
0 |
100% |
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test_set_params_passes_all_parameters |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
test_set_params_passes_all_parameters.TestDecisionTree.set_params |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_set_params_updates_valid_params |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_score_sample_weight |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_pandas_dataframe |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_pandas_dataframe.DummyEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_pandas_dataframe.DummyEstimator.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_base.py |
test_clone_pandas_dataframe.DummyEstimator.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_base.py |
test_clone_protocol |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_protocol.FrozenEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
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test_clone_protocol.FrozenEstimator.__getattr__ |
1 |
0 |
0 |
0 |
0 |
100% |
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test_clone_protocol.FrozenEstimator.__sklearn_clone__ |
1 |
0 |
0 |
0 |
0 |
100% |
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test_clone_protocol.FrozenEstimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
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test_clone_protocol.FrozenEstimator.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
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test_pickle_version_warning_is_not_raised_with_matching_version |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
TreeBadVersion.__getstate__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_pickle_version_warning_is_issued_upon_different_version |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
TreeNoVersion.__getstate__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_pickle_version_warning_is_issued_when_no_version_info_in_pickle |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
test_pickle_version_no_warning_is_issued_with_non_sklearn_estimator |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
DontPickleAttributeMixin.__getstate__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
DontPickleAttributeMixin.__setstate__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
MultiInheritanceEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
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test_pickling_when_getstate_is_overwritten_by_mixin |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearn |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
SingleInheritanceEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
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SingleInheritanceEstimator.__getstate__ |
3 |
0 |
0 |
0 |
0 |
100% |
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test_pickling_works_when_getstate_is_overwritten_in_the_child_class |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_tag_inheritance |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_raises_on_get_params_non_attribute |
7 |
0 |
0 |
2 |
0 |
100% |
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test_raises_on_get_params_non_attribute.MyEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_raises_on_get_params_non_attribute.MyEstimator.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_base.py |
test_repr_mimebundle_ |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
test_repr_html_wraps |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_base.py |
test_n_features_in_validation |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
test_n_features_in_no_validation |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_feature_names_in |
40 |
0 |
0 |
16 |
0 |
100% |
| sklearn/tests/test_base.py |
test_feature_names_in.NoOpTransformer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_feature_names_in.NoOpTransformer.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_validate_data_cast_to_ndarray |
28 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_base.py |
test_clone_keeps_output_config |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_estimator_empty_instance_dict |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_estimator_getstate_using_slots_error_message |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_base.py |
test_dataframe_protocol |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_base.py |
test_dataframe_protocol.NoOpTransformer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_dataframe_protocol.NoOpTransformer.transform |
1 |
0 |
0 |
0 |
0 |
100% |
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test_transformer_fit_transform_with_metadata_in_transform |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_base.py |
test_transformer_fit_transform_with_metadata_in_transform.CustomTransformer.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_transformer_fit_transform_with_metadata_in_transform.CustomTransformer.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_outlier_mixin_fit_predict_with_metadata_in_predict |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_base.py |
test_outlier_mixin_fit_predict_with_metadata_in_predict.CustomOutlierDetector.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
test_outlier_mixin_fit_predict_with_metadata_in_predict.CustomOutlierDetector.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_base.py |
(no function) |
115 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_build.py |
test_openmp_parallelism_enabled |
5 |
1 |
0 |
2 |
1 |
71% |
| sklearn/tests/test_build.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
data |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration |
27 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_default_estimator |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_cv_splitter |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_sample_weight |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_parallel_execution |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_multiclass |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_multiclass.multiclass_brier |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_zero_probability |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_zero_probability.ZeroCalibrator.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_prefit |
23 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_ensemble_false |
14 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_sigmoid_calibration |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_curve |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_nan_imputer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_prob_sum |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_less_classes |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_accepts_ndarray |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_accepts_ndarray.MockTensorClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_accepts_ndarray.MockTensorClassifier.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
dict_data |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
dict_data_pipeline |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_dict_pipeline |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_attributes |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_inconsistent_prefit_n_features_in |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_votingclassifier |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
iris_data |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
iris_data_binary |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_display_compute |
21 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_plot_calibration_curve_pipeline |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_display_default_labels |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_display_label_class_plot |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_display_name_multiple_calls |
21 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_display_ref_line |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_curve_pos_label_error_str |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_curve_pos_label |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_display_pos_label |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibrated_classifier_cv_double_sample_weights_equivalence |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_with_fit_params |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_with_sample_weight_estimator |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_without_sample_weight_estimator |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_without_sample_weight_estimator.ClfWithoutSampleWeight.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibrated_classifier_cv_zeros_sample_weights_equivalence |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_with_non_sample_aligned_fit_param |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibration_with_non_sample_aligned_fit_param.TestClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_calibrated_classifier_cv_works_with_large_confidence_scores |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_sigmoid_calibration_max_abs_prediction_threshold |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_float32_predict_proba |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_float32_predict_proba.DummyClassifer32.predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
test_error_less_class_samples_than_folds |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_calibration.py |
(no function) |
104 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_check_build.py |
test_raise_build_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_check_build.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
test_all_estimator_no_base_class |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_common.py |
_sample_func |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_common.py |
CallableEstimator.__call__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_common.py |
test_get_check_estimator_ids |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
_tested_estimators |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_common.py |
_generate_pipeline |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_common.py |
test_estimators |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_common.py |
test_check_estimator_generate_only |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
test_setup_py_check |
15 |
1 |
0 |
6 |
1 |
90% |
| sklearn/tests/test_common.py |
_tested_linear_classifiers |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_common.py |
test_class_weight_balanced_linear_classifiers |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
test_import_all_consistency |
11 |
0 |
0 |
12 |
1 |
96% |
| sklearn/tests/test_common.py |
test_root_import_all_completeness |
6 |
0 |
0 |
5 |
0 |
100% |
| sklearn/tests/test_common.py |
test_all_tests_are_importable |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
test_class_support_removed |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
_generate_column_transformer_instances |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
_generate_search_cv_instances |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
test_search_cv |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_common.py |
test_valid_tag_types |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
test_check_n_features_in_after_fitting |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
_estimators_that_predict_in_fit |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tests/test_common.py |
test_pandas_column_name_consistency |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_common.py |
_include_in_get_feature_names_out_check |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_common.py |
test_transformers_get_feature_names_out |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_common.py |
test_estimators_get_feature_names_out_error |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
test_estimators_do_not_raise_errors_in_init_or_set_params |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
test_check_param_validation |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_common.py |
test_f_contiguous_array_estimator |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
test_set_output_transform |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
test_set_output_transform_configured |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_common.py |
(no function) |
86 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_config.py |
test_config_context |
23 |
0 |
0 |
14 |
0 |
100% |
| sklearn/tests/test_config.py |
test_config_context_exception |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_config.py |
test_set_config |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_config.py |
set_assume_finite |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_config.py |
test_config_threadsafe_joblib |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_config.py |
test_config_threadsafe |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_config.py |
test_config_array_api_dispatch_error |
8 |
1 |
0 |
6 |
1 |
86% |
| sklearn/tests/test_config.py |
test_config_array_api_dispatch_error.mocked_import |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_config.py |
test_config_array_api_dispatch_error_numpy |
9 |
1 |
0 |
6 |
1 |
87% |
| sklearn/tests/test_config.py |
test_config_array_api_dispatch_error_numpy.mocked_import |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_config.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_predict |
25 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_predict_proba |
20 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_predict_proba.generate_dataset |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_predict_proba.discriminant_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_priors |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_coefs |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_transform |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_explained_variance_ratio |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_orthogonality |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_scaling |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_store_covariance |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_shrinkage |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_ledoitwolf |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_ledoitwolf.StandardizedLedoitWolf.fit |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_dimension_warning |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_dtype_match |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_lda_numeric_consistency_float32_float64 |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_qda |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_qda_priors |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_qda_prior_type |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_qda_prior_copy |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_qda_store_covariance |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_qda_regularization |
18 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_covariance |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_raises_value_error_on_same_number_of_classes_and_samples |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
test_get_feature_names_out |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_discriminant_analysis.py |
(no function) |
57 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_docstring_parameters.py |
test_docstring_parameters |
50 |
4 |
0 |
43 |
4 |
91% |
| sklearn/tests/test_docstring_parameters.py |
_construct_searchcv_instance |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_docstring_parameters.py |
_construct_compose_pipeline_instance |
6 |
0 |
0 |
6 |
1 |
92% |
| sklearn/tests/test_docstring_parameters.py |
_construct_sparse_coder |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_docstring_parameters.py |
test_fit_docstring_attributes |
63 |
2 |
0 |
50 |
3 |
96% |
| sklearn/tests/test_docstring_parameters.py |
_get_all_fitted_attributes |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_docstring_parameters.py |
(no function) |
35 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_docstrings.py |
get_all_methods |
15 |
1 |
0 |
12 |
1 |
93% |
| sklearn/tests/test_docstrings.py |
get_all_functions_names |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_docstrings.py |
filter_errors |
10 |
0 |
0 |
10 |
1 |
95% |
| sklearn/tests/test_docstrings.py |
repr_errors |
17 |
11 |
0 |
10 |
2 |
37% |
| sklearn/tests/test_docstrings.py |
test_function_docstring |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_docstrings.py |
test_docstring |
10 |
2 |
0 |
4 |
1 |
79% |
| sklearn/tests/test_docstrings.py |
(no function) |
15 |
0 |
19 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
_check_predict_proba |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_dummy.py |
_check_behavior_2d |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
_check_behavior_2d_for_constant |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
_check_equality_regressor |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_feature_names_in_and_n_features_in_ |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_most_frequent_and_prior_strategy |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_most_frequent_and_prior_strategy_with_2d_column_y |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_most_frequent_and_prior_strategy_multioutput |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_stratified_strategy |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_stratified_strategy_multioutput |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_uniform_strategy |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_uniform_strategy_multioutput |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_string_labels |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_classifier_score_with_None |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_classifier_prediction_independent_of_X |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_mean_strategy_regressor |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_mean_strategy_multioutput_regressor |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_regressor_exceptions |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_median_strategy_regressor |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_median_strategy_multioutput_regressor |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_quantile_strategy_regressor |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_quantile_strategy_multioutput_regressor |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_quantile_invalid |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_quantile_strategy_empty_train |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constant_strategy_regressor |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constant_strategy_multioutput_regressor |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_y_mean_attribute_regressor |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constants_not_specified_regressor |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constant_size_multioutput_regressor |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constant_strategy |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constant_strategy_multioutput |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constant_strategy_exceptions |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_classification_sample_weight |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_constant_strategy_sparse_target |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_uniform_strategy_sparse_target_warning |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_stratified_strategy_sparse_target |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_most_frequent_and_prior_strategy_sparse_target |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_dummy_regressor_sample_weight |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_dummy_regressor_on_3D_array |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_dummy_classifier_on_3D_array |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_dummy_regressor_return_std |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_regressor_score_with_None |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_regressor_prediction_independent_of_X |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
test_dtype_of_classifier_probas |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_dummy.py |
(no function) |
64 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_init.py |
test_import_skl |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_init.py |
(no function) |
8 |
2 |
0 |
0 |
0 |
75% |
| sklearn/tests/test_isotonic.py |
test_permutation_invariance |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_check_increasing_small_number_of_samples |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_check_increasing_up |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_check_increasing_up_extreme |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_check_increasing_down |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_check_increasing_down_extreme |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_check_ci_warn |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_ties_min |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_ties_max |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_ties_secondary_ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_with_ties_in_differently_sized_groups |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_reversed |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_auto_decreasing |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_auto_increasing |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_assert_raises_exceptions |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_sample_weight_parameter_default_value |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_min_max_boundaries |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_sample_weight |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_oob_raise |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_oob_clip |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_oob_nan |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_pickle |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_duplicate_min_entry |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_ymin_ymax |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_zero_weight_loop |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_fast_predict |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_copy_before_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_dtype |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_mismatched_dtype |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_make_unique_dtype |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_make_unique_tolerance |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_make_unique_tolerance |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_non_regression_inf_slope |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_thresholds |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_input_shape_validation |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_2darray_more_than_1_feature |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_sample_weight_not_overwritten |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_get_feature_names_out |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
test_isotonic_regression_output_predict |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_isotonic.py |
(no function) |
57 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_polynomial_count_sketch |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_polynomial_count_sketch_dense_sparse |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
_linear_kernel |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_additive_chi2_sampler |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_additive_chi2_sampler_sample_steps |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_additive_chi2_sampler_wrong_sample_steps |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_skewed_chi2_sampler |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_additive_chi2_sampler_exceptions |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_rbf_sampler |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_rbf_sampler_fitted_attributes_dtype |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_rbf_sampler_dtype_equivalence |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_rbf_sampler_gamma_scale |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_skewed_chi2_sampler_fitted_attributes_dtype |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_skewed_chi2_sampler_dtype_equivalence |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_input_validation |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_approximation |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_default_parameters |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_singular_kernel |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_poly_kernel_params |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_callable |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_callable.logging_histogram_kernel |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_precomputed_kernel |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_nystroem_component_indices |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_get_feature_names_out |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
test_additivechi2sampler_get_feature_names_out |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_kernel_approximation.py |
(no function) |
50 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
test_kernel_ridge |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
test_kernel_ridge_sparse |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
test_kernel_ridge_singular_kernel |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
test_kernel_ridge_precomputed |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
test_kernel_ridge_precomputed_kernel_unchanged |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
test_kernel_ridge_sample_weights |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
test_kernel_ridge_multi_output |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_kernel_ridge.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
enable_slep006 |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
SimplePipeline.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
SimplePipeline.fit |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
SimplePipeline.predict |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
SimplePipeline.get_metadata_routing |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_assert_request_is_empty |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_estimator_puts_self_in_registry |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_request_type_is_alias |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_request_type_is_valid |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_default_requests |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_default_request_override |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_process_routing_invalid_method |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_process_routing_invalid_object |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_process_routing_empty_params_get_with_default |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_simple_metadata_routing |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_nested_routing |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_nested_routing_conflict |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_invalid_metadata |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_get_metadata_routing |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_setting_default_requests |
20 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_setting_default_requests.ExplicitRequest.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_setting_default_requests.ExplicitRequestOverwrite.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_setting_default_requests.ImplicitRequest.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_setting_default_requests.ImplicitRequestRemoval.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_removing_non_existing_param_raises |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_removing_non_existing_param_raises.InvalidRequestRemoval.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_metadata_routing.py |
test_method_metadata_request |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_get_routing_for_object |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_metadata_request_consumes_method |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_metadata_router_consumes_method |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_metaestimator_warnings |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_estimator_warnings |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_string_representations |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_validations |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_methodmapping |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_metadatarouter_add_self_request |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_metadata_routing_add |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_metadata_routing_get_param_names |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation |
32 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.fit |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.fit_transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.fit_predict |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.partial_fit |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.predict |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.predict_proba |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.predict_log_proba |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.decision_function |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.score |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.split |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.inverse_transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.fit |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.fit_transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.fit_predict |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.partial_fit |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.predict |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.predict_proba |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.predict_log_proba |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.decision_function |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.score |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.split |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_method_generation.SimpleEstimator.inverse_transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_composite_methods |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_composite_methods.SimpleEstimator.fit |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_composite_methods.SimpleEstimator.predict |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_composite_methods.SimpleEstimator.transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_no_feature_flag_raises_error |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_none_metadata_passed |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_no_metadata_always_works |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_no_metadata_always_works.Estimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_unsetmetadatapassederror_correct |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_unsetmetadatapassederror_correct_for_composite_methods |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_unbound_set_methods_work |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_metadata_routing.py |
test_unbound_set_methods_work.A.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_metadata_routing.py |
(no function) |
70 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
DelegatorData.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation |
49 |
0 |
0 |
24 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.hides |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.hides.wrapper |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator._check_fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.inverse_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_metaestimator_delegation.SubEstimator.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
_generate_meta_estimator_instances_with_pipeline |
21 |
0 |
0 |
14 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
_get_meta_estimator_id |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
test_meta_estimators_delegate_data_validation |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metaestimators.py |
(no function) |
29 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
enable_slep006 |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
get_init_args |
31 |
2 |
0 |
16 |
2 |
91% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
set_requests |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_unsupported_estimators_get_metadata_routing |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_unsupported_estimators_fit_with_metadata |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_registry_copy |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_default_request |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_error_on_missing_requests_for_sub_estimator |
25 |
0 |
0 |
12 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_setting_request_on_sub_estimator_removes_error |
35 |
0 |
0 |
20 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_non_consuming_estimator_works |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_non_consuming_estimator_works.set_request |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_metadata_is_routed_correctly_to_scorer |
20 |
0 |
0 |
12 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
test_metadata_is_routed_correctly_to_splitter |
20 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tests/test_metaestimators_metadata_routing.py |
(no function) |
57 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_min_dependencies_readme.py |
test_min_dependencies_readme |
16 |
1 |
0 |
10 |
1 |
92% |
| sklearn/tests/test_min_dependencies_readme.py |
check_pyproject_section |
29 |
28 |
0 |
18 |
0 |
2% |
| sklearn/tests/test_min_dependencies_readme.py |
test_min_dependencies_pyproject_toml |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_min_dependencies_readme.py |
(no function) |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_exceptions |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_check_classification_targets |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_fit_predict |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_partial_fit |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_partial_fit_exceptions |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_ovo_regressor |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_fit_predict_sparse |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_always_present |
24 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_multiclass |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_binary |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_binary.conduct_test |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_multilabel |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_fit_predict_svc |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_multilabel_dataset |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_multilabel_predict_proba |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_single_label_predict_proba |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_multilabel_decision_function |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_single_label_decision_function |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_gridsearch |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovr_pipeline |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_exceptions |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_fit_on_list |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_fit_predict |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_partial_fit_predict |
37 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_decision_function |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_gridsearch |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_ties |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_ties2 |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_string_y |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_one_class |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_float_y |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ecoc_exceptions |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ecoc_fit_predict |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ecoc_gridsearch |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ecoc_float_y |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ecoc_delegate_sparse_base_estimator |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_pairwise_indices |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_pairwise_n_features_in |
34 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_pairwise_tag |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_pairwise_cross_val_score |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_support_missing_values |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_constant_int_target |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_ovo_consistent_binary_classification |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
test_multiclass_estimator_attribute_error |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multiclass.py |
(no function) |
80 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_target_regression |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_target_regression_partial_fit |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_target_regression_one_target |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_target_sparse_regression |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_target_sample_weights_api |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_target_sample_weight_partial_fit |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_target_sample_weights |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_classification_partial_fit_parallelism |
8 |
0 |
0 |
2 |
1 |
90% |
| sklearn/tests/test_multioutput.py |
test_hasattr_multi_output_predict_proba |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_predict_proba |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_predict_proba.custom_scorer |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_classification_partial_fit |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_classification_partial_fit_no_first_classes_exception |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_classification |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multiclass_multioutput_estimator |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multiclass_multioutput_estimator_predict_proba |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_classification_sample_weights |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_classification_partial_fit_sample_weights |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_exceptions |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_not_fitted_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_delegate_predict_proba |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
generate_multilabel_dataset_with_correlations |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_classifier_chain_fit_and_predict_with_linear_svc |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_classifier_chain_fit_and_predict_with_sparse_data |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_classifier_chain_vs_independent_models |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_classifier_chain_fit_and_predict |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_regressor_chain_fit_and_predict |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_base_chain_fit_and_predict_with_sparse_data_and_cv |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_base_chain_random_order |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_base_chain_crossval_fit_and_predict |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multi_output_classes_ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
DummyRegressorWithFitParams.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
DummyClassifierWithFitParams.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multioutput_estimator_with_fit_params |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_regressor_chain_w_fit_params |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_regressor_chain_w_fit_params.MySGD.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_support_missing_values |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_classifier_chain_tuple_order |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_classifier_chain_tuple_invalid_order |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_classifier_chain_verbose |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_regressor_chain_verbose |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multioutputregressor_ducktypes_fitted_estimator |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_fit_params_no_routing |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
test_multioutput_regressor_has_partial_fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_multioutput.py |
(no function) |
90 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
get_random_normal_x_binary_y |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
get_random_integer_x_three_classes_y |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_prior |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_sample_weight |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_neg_priors |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_priors |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_priors_sum_isclose |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_wrong_nb_priors |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_prior_greater_one |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_prior_large_bias |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_check_update_with_no_data |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_partial_fit |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_gnb_naive_bayes_scale_invariance |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_prior |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_partial_fit |
23 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_NB_partial_fit_no_first_classes |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_predict_proba |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_uniform_prior |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_provide_prior |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_provide_prior_with_partial_fit |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_sample_weight_multiclass |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_discretenb_degenerate_one_class_case |
21 |
0 |
0 |
12 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_mnnb |
34 |
0 |
0 |
6 |
1 |
98% |
| sklearn/tests/test_naive_bayes.py |
test_mnb_prior_unobserved_targets |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_bnb |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_bnb_feature_log_prob |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_cnb |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_categoricalnb |
35 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_categoricalnb_with_min_categories |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_categoricalnb_min_categories_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_alpha |
33 |
0 |
0 |
14 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_alpha_vector |
24 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_check_accuracy_on_digits |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_check_alpha |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
test_predict_joint_proba |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_naive_bayes.py |
(no function) |
68 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
NoFit.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
NoTrans.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
NoTrans.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
NoTrans.set_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
NoInvTransf.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_pipeline.py |
Transf.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
Transf.inverse_transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tests/test_pipeline.py |
TransfFitParams.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
Mult.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
Mult.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
Mult.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
Mult.inverse_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
Mult.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
Mult.score |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FitParamT.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FitParamT.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FitParamT.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FitParamT.fit_predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FitParamT.score |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
DummyTransf.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
DummyEstimatorParams.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
DummyEstimatorParams.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
DummyEstimatorParams.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
DummyEstimatorParams.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_invalid_parameters |
42 |
0 |
0 |
12 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_init_tuple |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_methods_anova |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_fit_params |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_sample_weight_supported |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_sample_weight_unsupported |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_raise_set_params_error |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_methods_pca_svm |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_score_samples_pca_lof |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_score_samples_on_pipeline_without_score_samples |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_methods_preprocessing_svm |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_fit_predict_on_pipeline |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_fit_predict_on_pipeline_without_fit_predict |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_fit_predict_with_intermediate_fit_params |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_predict_methods_with_predict_params |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union |
28 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_named_transformers |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_make_union |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_make_union_kwargs |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_transform |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_fit_transform |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_slice |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_index |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_set_pipeline_steps |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_named_steps |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_correctly_adjusts_steps |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_set_pipeline_step_passthrough |
47 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_set_pipeline_step_passthrough.make |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_ducktyping |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_make_pipeline |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_weights |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_parallel |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_feature_names |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_classes_property |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_set_feature_union_steps |
18 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_set_feature_union_step_drop |
23 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_set_feature_union_passthrough |
46 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_passthrough_get_feature_names_out_true |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_passthrough_get_feature_names_out_false |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_passthrough_get_feature_names_out_false_errors |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_passthrough_get_feature_names_out_false_errors_overlap_over_5 |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_step_name_validation |
22 |
0 |
0 |
14 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_set_params_nested_pipeline |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_memory |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_make_pipeline_memory |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FeatureNameSaver.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FeatureNameSaver.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
FeatureNameSaver.get_feature_names_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_features_names_passthrough |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_names_count_vectorizer |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_feature_names_out_error_without_definition |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_param_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_verbose |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_n_features_in_pipeline |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_n_features_in_feature_union |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_fit_params |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_fit_params.DummyTransformer.fit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_fit_params.DummyTransformer.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_fit_params_without_fit_transform |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_fit_params_without_fit_transform.DummyTransformer.fit |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_missing_values_leniency |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_warns_unknown_transformer_weight |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_get_tags_none |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_search_cv_using_minimal_compatible_estimator |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_check_if_fitted |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_check_if_fitted.Estimator.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_check_if_fitted |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_get_feature_names_out_passes_names_through |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_get_feature_names_out_passes_names_through.AddPrefixStandardScalar.get_feature_names_out |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_set_output_integration |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_set_output |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_getitem |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_getitem_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_feature_names_in_ |
16 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_inverse_transform_Xt_deprecation |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.fit_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.fit_predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.predict_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.predict_log_proba |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.decision_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
SimpleEstimator.inverse_transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_metadata_routing_for_pipeline |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_metadata_routing_for_pipeline.set_request |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_metadata_routing_error_for_pipeline |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_routing_passed_metadata_not_supported |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_with_estimator_with_len |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_pipeline_with_no_last_step |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_metadata_routing_error |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_get_metadata_routing_without_fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
test_feature_union_metadata_routing |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_pipeline.py |
(no function) |
178 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_public_functions.py |
_get_func_info |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_public_functions.py |
_check_function_param_validation |
33 |
3 |
0 |
21 |
2 |
91% |
| sklearn/tests/test_public_functions.py |
test_function_param_validation |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_public_functions.py |
test_class_wrapper_param_validation |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_public_functions.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
make_sparse_random_data |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
densify |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_invalid_jl_domain |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_input_size_jl_min_dim |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
check_input_size_random_matrix |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
check_size_generated |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
check_zero_mean_and_unit_norm |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
check_input_with_sparse_random_matrix |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_basic_property_of_random_matrix |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_basic_property_of_sparse_random_matrix |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_gaussian_random_matrix |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_sparse_random_matrix |
19 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_random_projection_transformer_invalid_input |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_try_to_transform_before_fit |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_too_many_samples_to_find_a_safe_embedding |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_random_projection_embedding_quality |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_SparseRandomProj_output_representation |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_correct_RandomProjection_dimensions_embedding |
25 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_warning_n_components_greater_than_n_features |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_works_with_sparse_data |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_johnson_lindenstrauss_min_dim |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_random_projection_feature_names_out |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_inverse_transform |
18 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_random_projection_dtype_match |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
test_random_projection_numerical_consistency |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tests/test_random_projection.py |
(no function) |
64 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/__init__.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree.__init__ |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree.get_depth |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree.get_n_leaves |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree._support_missing_values |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree._compute_missing_values_in_feature_mask |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree._fit |
112 |
1 |
0 |
74 |
3 |
98% |
| sklearn/tree/_classes.py |
BaseDecisionTree._validate_X_predict |
9 |
1 |
0 |
6 |
1 |
87% |
| sklearn/tree/_classes.py |
BaseDecisionTree.predict |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree.apply |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree.decision_path |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree._prune_tree |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree.cost_complexity_pruning_path |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
BaseDecisionTree.feature_importances_ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeClassifier.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeClassifier.predict_proba |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeClassifier.predict_log_proba |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeClassifier._more_tags |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeRegressor.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeRegressor._compute_partial_dependence_recursion |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
DecisionTreeRegressor._more_tags |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
ExtraTreeClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
ExtraTreeRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_classes.py |
(no function) |
60 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_export.py |
_color_brew |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_export.py |
Sentinel.__repr__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tree/_export.py |
plot_tree |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_export.py |
_BaseTreeExporter.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_export.py |
_BaseTreeExporter.get_color |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tree/_export.py |
_BaseTreeExporter.get_fill_color |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/_export.py |
_BaseTreeExporter.node_to_str |
58 |
2 |
0 |
44 |
7 |
91% |
| sklearn/tree/_export.py |
_DOTTreeExporter.__init__ |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_export.py |
_DOTTreeExporter.export |
8 |
1 |
0 |
6 |
1 |
86% |
| sklearn/tree/_export.py |
_DOTTreeExporter.tail |
4 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tree/_export.py |
_DOTTreeExporter.head |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/_export.py |
_DOTTreeExporter.recurse |
33 |
1 |
0 |
22 |
2 |
95% |
| sklearn/tree/_export.py |
_MPLTreeExporter.__init__ |
9 |
1 |
0 |
2 |
1 |
82% |
| sklearn/tree/_export.py |
_MPLTreeExporter._make_tree |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_export.py |
_MPLTreeExporter.export |
26 |
0 |
0 |
16 |
1 |
98% |
| sklearn/tree/_export.py |
_MPLTreeExporter.recurse |
26 |
4 |
0 |
14 |
2 |
85% |
| sklearn/tree/_export.py |
export_graphviz |
20 |
3 |
0 |
12 |
2 |
84% |
| sklearn/tree/_export.py |
_compute_depth |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_export.py |
_compute_depth.compute_depth_ |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_export.py |
export_text |
29 |
0 |
0 |
22 |
0 |
100% |
| sklearn/tree/_export.py |
export_text._add_leaf |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/_export.py |
export_text.print_tree_recurse |
30 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/_export.py |
(no function) |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.__init__ |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.left |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.right |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.lbrother |
7 |
0 |
0 |
6 |
1 |
92% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.get_lmost_sibling |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.__str__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.__repr__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/tree/_reingold_tilford.py |
DrawTree.max_extents |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
buchheim |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
third_walk |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
first_walk |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
apportion |
31 |
0 |
0 |
10 |
1 |
98% |
| sklearn/tree/_reingold_tilford.py |
move_subtree |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
execute_shifts |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
ancestor |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/tree/_reingold_tilford.py |
second_walk |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
Tree.__init__ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/_reingold_tilford.py |
(no function) |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_graphviz_toy |
28 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_graphviz_feature_class_names_array_support |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_graphviz_errors |
17 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_friedman_mse_in_graphviz |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_precision |
15 |
0 |
0 |
12 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_export_text_errors |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_export_text |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_export_text_feature_class_names_array_support |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_plot_tree_entropy |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_plot_tree_gini |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
test_not_fitted_tree |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_export.py |
(no function) |
29 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_monotonic_constraints_classifications |
31 |
0 |
0 |
8 |
1 |
97% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_monotonic_constraints_regressions |
30 |
0 |
0 |
8 |
1 |
97% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_multiclass_raises |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_multiple_output_raises |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_missing_values_raises |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_bad_monotonic_cst_raises |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
assert_1d_reg_tree_children_monotonic_bounded |
22 |
0 |
0 |
20 |
3 |
93% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_assert_1d_reg_tree_children_monotonic_bounded |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
assert_1d_reg_monotonic |
6 |
0 |
0 |
4 |
1 |
90% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_1d_opposite_monotonicity_cst_data |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_1d_tree_nodes_values |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
assert_nd_reg_tree_children_monotonic_bounded |
29 |
0 |
2 |
8 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_assert_nd_reg_tree_children_monotonic_bounded |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
test_nd_tree_nodes_values |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_monotonic_tree.py |
(no function) |
47 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_reingold_tilford.py |
test_buchheim |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_reingold_tilford.py |
test_buchheim.walk_tree |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_reingold_tilford.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
assert_tree_equal |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_classification_toy |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_weighted_classification_toy |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_regression_toy |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_xor |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_iris |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_diabetes_overfit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_diabetes_underfit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_probability |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_arrayrepr |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_pure_set |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_numerical_stability |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_importances |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_importances_raises |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_importances_gini_equal_squared_error |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_max_features |
25 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_error |
44 |
0 |
0 |
26 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_samples_split |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_samples_leaf |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
check_min_weight_fraction_leaf |
26 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_weight_fraction_leaf_on_dense_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_weight_fraction_leaf_on_sparse_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
check_min_weight_fraction_leaf_with_min_samples_leaf |
24 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_weight_fraction_leaf_with_min_samples_leaf_on_dense_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_weight_fraction_leaf_with_min_samples_leaf_on_sparse_input |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_impurity_decrease |
27 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_pickle |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_multioutput |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_classes_shape |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_unbalanced_iris |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_memory_layout |
25 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_sample_weight |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_sample_weight_invalid |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_class_weights |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_class_weight_errors |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_max_leaf_nodes |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_max_leaf_nodes_max_depth |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_arrays_persist |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_only_constant_features |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_behaviour_constant_feature_after_splits |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_with_only_one_non_constant_features |
12 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_big_input |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_realloc |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_huge_allocations |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
check_sparse_input |
22 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_sparse_input |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_sparse_input_reg_trees |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_sparse_parameters |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_sparse_criteria |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_explicit_sparse_zeros |
43 |
1 |
0 |
6 |
1 |
96% |
| sklearn/tree/tests/test_tree.py |
check_raise_error_on_1d_input |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_1d_input |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_weight_leaf_split_level |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_public_apply_all_trees |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_public_apply_sparse_trees |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_decision_path_hardcoded |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_decision_path |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_no_sparse_y_support |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_mae |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_criterion_copy |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_criterion_copy._pickle_copy |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_empty_leaf_infinite_threshold |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_prune_tree_classifier_are_subtrees |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_prune_tree_regression_are_subtrees |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_prune_single_node_tree |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
assert_pruning_creates_subtree |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
assert_is_subtree |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_apply_path_readonly_all_trees |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_balance_property |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_poisson_zero_nodes |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_poisson_vs_mse |
18 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_decision_tree_regressor_sample_weight_consistency |
17 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_criterion_entropy_same_as_log_loss |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_endianness_pickle |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_endianness_pickle.reduce_ndarray |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_endianness_pickle.get_pickle_non_native_endianness |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_endianness_joblib_pickle |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_endianness_joblib_pickle.NonNativeEndiannessNumpyPickler.save |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_endianness_joblib_pickle.get_joblib_pickle_non_native_endianness |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
get_different_bitness_node_ndarray |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
get_different_alignment_node_ndarray |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
reduce_tree_with_different_bitness |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_bitness_pickle |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_bitness_pickle.pickle_dump_with_different_bitness |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_bitness_joblib_pickle |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_different_bitness_joblib_pickle.joblib_dump_with_different_bitness |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_check_n_classes |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_check_value_ndarray |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_check_node_ndarray |
25 |
0 |
0 |
14 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_splitter_serializable |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_tree_deserialization_from_read_only_buffer |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_min_sample_split_1_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_values_on_equal_nodes_no_missing |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_values_best_splitter_three_classes |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_values_best_splitter_to_left |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_values_best_splitter_to_right |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_values_missing_both_classes_has_nan |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_value_errors |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_values_poisson |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
make_friedman1_classification |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_values_is_resilience |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_missing_value_is_predictive |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_sample_weight_non_uniform |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_deterministic_pickle |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_regression_tree_missing_values_toy |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
test_classification_tree_missing_values_toy |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/tree/tests/test_tree.py |
(no function) |
227 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/__init__.py |
__getattr__ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/__init__.py |
tosequence |
5 |
2 |
0 |
4 |
2 |
56% |
| sklearn/utils/__init__.py |
(no function) |
26 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_arpack.py |
_init_arpack_v0 |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_arpack.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
yield_namespaces |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_array_api.py |
yield_namespace_device_dtype_combinations |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_array_api.py |
_check_array_api_dispatch |
9 |
0 |
0 |
4 |
1 |
92% |
| sklearn/utils/_array_api.py |
_single_array_device |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_array_api.py |
device |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_array_api.py |
size |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_is_numpy_namespace |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_union1d |
4 |
2 |
0 |
2 |
1 |
50% |
| sklearn/utils/_array_api.py |
isdtype |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_array_api.py |
_isdtype_single |
22 |
0 |
0 |
24 |
2 |
96% |
| sklearn/utils/_array_api.py |
supported_float_dtypes |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/utils/_array_api.py |
ensure_common_namespace_device |
5 |
2 |
0 |
4 |
1 |
44% |
| sklearn/utils/_array_api.py |
_ArrayAPIWrapper.__init__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_array_api.py |
_ArrayAPIWrapper.__getattr__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_array_api.py |
_ArrayAPIWrapper.__eq__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_array_api.py |
_ArrayAPIWrapper.isdtype |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_array_api.py |
_check_device_cpu |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_array_api.py |
_accept_device_cpu |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_accept_device_cpu.wrapped_func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.__getattr__ |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.bool |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.astype |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.asarray |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.unique_inverse |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.unique_counts |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.unique_values |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.unique_all |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.concat |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.reshape |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.isdtype |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_NumPyAPIWrapper.pow |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_remove_non_arrays |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/_array_api.py |
get_namespace |
14 |
9 |
0 |
8 |
1 |
36% |
| sklearn/utils/_array_api.py |
get_namespace_and_device |
6 |
1 |
0 |
2 |
1 |
75% |
| sklearn/utils/_array_api.py |
_expit |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/utils/_array_api.py |
_add_to_diagonal |
10 |
5 |
0 |
8 |
1 |
33% |
| sklearn/utils/_array_api.py |
_find_matching_floating_dtype |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_array_api.py |
_average |
35 |
20 |
0 |
26 |
6 |
41% |
| sklearn/utils/_array_api.py |
_nanmin |
9 |
6 |
0 |
4 |
1 |
31% |
| sklearn/utils/_array_api.py |
_nanmax |
9 |
6 |
0 |
4 |
1 |
31% |
| sklearn/utils/_array_api.py |
_asarray_with_order |
7 |
1 |
0 |
4 |
1 |
82% |
| sklearn/utils/_array_api.py |
_ravel |
5 |
1 |
0 |
2 |
1 |
71% |
| sklearn/utils/_array_api.py |
_convert_to_numpy |
8 |
3 |
0 |
6 |
3 |
57% |
| sklearn/utils/_array_api.py |
_estimator_with_converted_arrays |
7 |
7 |
0 |
4 |
0 |
0% |
| sklearn/utils/_array_api.py |
_atol_for_type |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
indexing_dtype |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_array_api.py |
_searchsorted |
6 |
4 |
0 |
2 |
1 |
38% |
| sklearn/utils/_array_api.py |
_setdiff1d |
7 |
5 |
0 |
4 |
1 |
27% |
| sklearn/utils/_array_api.py |
_isin |
6 |
4 |
0 |
2 |
1 |
38% |
| sklearn/utils/_array_api.py |
_in1d |
26 |
26 |
0 |
14 |
0 |
0% |
| sklearn/utils/_array_api.py |
(no function) |
64 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_available_if.py |
_AvailableIfDescriptor.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_available_if.py |
_AvailableIfDescriptor._check |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_available_if.py |
_AvailableIfDescriptor.__get__ |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_available_if.py |
available_if |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_available_if.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_bunch.py |
Bunch.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_bunch.py |
Bunch.__getitem__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_bunch.py |
Bunch._set_deprecated |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_bunch.py |
Bunch.__setattr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_bunch.py |
Bunch.__dir__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_bunch.py |
Bunch.__getattr__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_bunch.py |
Bunch.__setstate__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_bunch.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_chunking.py |
chunk_generator |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_chunking.py |
gen_batches |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_chunking.py |
gen_even_slices |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_chunking.py |
get_chunk_n_rows |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_chunking.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_encode.py |
_unique |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_encode.py |
_unique_np |
23 |
0 |
0 |
16 |
0 |
100% |
| sklearn/utils/_encode.py |
MissingValues.to_list |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_encode.py |
_extract_missing |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_encode.py |
_nandict.__init__ |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_encode.py |
_nandict.__missing__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_encode.py |
_map_to_integer |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_encode.py |
_unique_python |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_encode.py |
_encode |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_encode.py |
_check_unknown |
37 |
0 |
0 |
24 |
0 |
100% |
| sklearn/utils/_encode.py |
_check_unknown.is_valid |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_encode.py |
_NaNCounter.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_encode.py |
_NaNCounter._generate_items |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_encode.py |
_NaNCounter.__missing__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_encode.py |
_get_counts |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_encode.py |
(no function) |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_IDCounter.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_IDCounter.get_id |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_get_css_style |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_VisualBlock.__init__ |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_VisualBlock._sk_visual_block_ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_write_label_html |
18 |
0 |
0 |
6 |
1 |
96% |
| sklearn/utils/_estimator_html_repr.py |
_get_visual_block |
14 |
0 |
0 |
14 |
1 |
96% |
| sklearn/utils/_estimator_html_repr.py |
_write_estimator_html |
27 |
0 |
0 |
16 |
1 |
98% |
| sklearn/utils/_estimator_html_repr.py |
estimator_html_repr |
25 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_HTMLDocumentationLinkMixin._doc_link_template |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_HTMLDocumentationLinkMixin._doc_link_template |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
_HTMLDocumentationLinkMixin._get_doc_link |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_estimator_html_repr.py |
(no function) |
31 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_indexing.py |
_array_indexing |
8 |
1 |
0 |
6 |
1 |
86% |
| sklearn/utils/_indexing.py |
_pandas_indexing |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_indexing.py |
_list_indexing |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_indexing.py |
_polars_indexing |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/_indexing.py |
_determine_key_type |
44 |
7 |
0 |
32 |
1 |
84% |
| sklearn/utils/_indexing.py |
_safe_indexing |
20 |
0 |
0 |
18 |
0 |
100% |
| sklearn/utils/_indexing.py |
_safe_assign |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_indexing.py |
_get_column_indices_for_bool_or_int |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_indexing.py |
_get_column_indices |
33 |
1 |
0 |
18 |
1 |
96% |
| sklearn/utils/_indexing.py |
_get_column_indices_interchange |
21 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/_indexing.py |
resample |
35 |
0 |
0 |
22 |
0 |
100% |
| sklearn/utils/_indexing.py |
shuffle |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_indexing.py |
(no function) |
24 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_joblib.py |
(no function) |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_mask.py |
_get_dense_mask |
12 |
0 |
0 |
11 |
0 |
100% |
| sklearn/utils/_mask.py |
_get_mask |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_mask.py |
safe_mask |
7 |
1 |
0 |
4 |
1 |
82% |
| sklearn/utils/_mask.py |
axis0_safe_slice |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_mask.py |
indices_to_mask |
5 |
1 |
0 |
2 |
1 |
71% |
| sklearn/utils/_mask.py |
(no function) |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_routing_enabled |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_raise_for_params |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_raise_for_unsupported_routing |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_RoutingNotSupportedMixin.get_metadata_routing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
request_is_alias |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
request_is_valid |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest.requests |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest.add_request |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest._get_param_names |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest._check_warnings |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest._route_params |
21 |
0 |
0 |
20 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest._consumes |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest._serialize |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMetadataRequest.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest.__init__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest.consumes |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest.__getattr__ |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest._get_param_names |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest._route_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest._check_warnings |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest._serialize |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRequest.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMapping.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMapping.__iter__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMapping.add |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMapping._serialize |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMapping.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MethodMapping.__str__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.add_self_request |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.add |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.consumes |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter._get_param_names |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter._route_params |
10 |
0 |
0 |
8 |
1 |
94% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.route_params |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.validate_metadata |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter._serialize |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.__iter__ |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
MetadataRouter.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
get_routing_for_object |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
RequestMethod.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
RequestMethod.__get__ |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
RequestMethod.__get__.func |
17 |
0 |
0 |
12 |
1 |
97% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_fit_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_partial_fit_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_predict_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_predict_proba_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_predict_log_proba_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_decision_function_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_score_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_split_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_transform_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.set_inverse_transform_request |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.__init_subclass__ |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester._build_request_for_signature |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester._get_default_requests |
12 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester._get_metadata_request |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
_MetadataRequester.get_metadata_routing |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
process_routing |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
process_routing.EmptyRequest.get |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
process_routing.EmptyRequest.__getitem__ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
process_routing.EmptyRequest.__getattr__ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_metadata_requests.py |
(no function) |
84 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/_missing.py |
is_scalar_nan |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_missing.py |
is_pandas_na |
4 |
1 |
0 |
2 |
0 |
83% |
| sklearn/utils/_missing.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
ArraySlicingWrapper.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
ArraySlicingWrapper.__getitem__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_mocking.py |
MockDataFrame.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
MockDataFrame.__len__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
MockDataFrame.__array__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
MockDataFrame.__eq__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
MockDataFrame.__ne__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_mocking.py |
MockDataFrame.take |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
CheckingClassifier.__init__ |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
CheckingClassifier._check_X_y |
15 |
1 |
0 |
10 |
1 |
92% |
| sklearn/utils/_mocking.py |
CheckingClassifier.fit |
17 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/_mocking.py |
CheckingClassifier.predict |
4 |
0 |
0 |
2 |
1 |
83% |
| sklearn/utils/_mocking.py |
CheckingClassifier.predict_proba |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_mocking.py |
CheckingClassifier.decision_function |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_mocking.py |
CheckingClassifier.score |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_mocking.py |
CheckingClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
NoSampleWeightWrapper.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
NoSampleWeightWrapper.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
NoSampleWeightWrapper.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
NoSampleWeightWrapper.predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
NoSampleWeightWrapper._more_tags |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/_mocking.py |
_check_response |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
_check_response.check |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
_MockEstimatorOnOffPrediction.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
_MockEstimatorOnOffPrediction.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
_MockEstimatorOnOffPrediction.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
_MockEstimatorOnOffPrediction.predict_proba |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
_MockEstimatorOnOffPrediction.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_mocking.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_optional_dependencies.py |
check_matplotlib_support |
4 |
2 |
0 |
0 |
0 |
50% |
| sklearn/utils/_optional_dependencies.py |
check_pandas_support |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/utils/_optional_dependencies.py |
(no function) |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
validate_parameter_constraints |
15 |
0 |
0 |
18 |
0 |
100% |
| sklearn/utils/_param_validation.py |
make_constraint |
27 |
0 |
0 |
24 |
0 |
100% |
| sklearn/utils/_param_validation.py |
validate_params |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
validate_params.decorator |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
validate_params.decorator.wrapper |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_type_name |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Constraint.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Constraint.is_satisfied_by |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Constraint.__str__ |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_InstancesOf.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_InstancesOf.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_InstancesOf.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_NoneConstraint.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_NoneConstraint.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_NanConstraint.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_NanConstraint.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_PandasNAConstraint.is_satisfied_by |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/utils/_param_validation.py |
_PandasNAConstraint.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Options.__init__ |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Options.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Options._mark_if_deprecated |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Options.__str__ |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
StrOptions.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Interval.__init__ |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Interval._check_params |
20 |
4 |
0 |
20 |
4 |
80% |
| sklearn/utils/_param_validation.py |
Interval.__contains__ |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Interval.is_satisfied_by |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Interval.__str__ |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_ArrayLikes.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_ArrayLikes.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_SparseMatrices.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_SparseMatrices.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Callables.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Callables.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_RandomStates.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_RandomStates.is_satisfied_by |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_RandomStates.__str__ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Booleans.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Booleans.is_satisfied_by |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_Booleans.__str__ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_VerboseHelper.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_VerboseHelper.is_satisfied_by |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_VerboseHelper.__str__ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
MissingValues.__init__ |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
MissingValues.is_satisfied_by |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
MissingValues.__str__ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
HasMethods.__init__ |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
HasMethods.is_satisfied_by |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
HasMethods.__str__ |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_IterablesNotString.is_satisfied_by |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_IterablesNotString.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_CVObjects.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_CVObjects.is_satisfied_by |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
_CVObjects.__str__ |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_param_validation.py |
Hidden.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_param_validation.py |
generate_invalid_param_val |
29 |
1 |
0 |
28 |
1 |
96% |
| sklearn/utils/_param_validation.py |
generate_valid_param |
45 |
1 |
0 |
48 |
3 |
96% |
| sklearn/utils/_param_validation.py |
(no function) |
92 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_plotting.py |
_BinaryClassifierCurveDisplayMixin._validate_plot_params |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_plotting.py |
_BinaryClassifierCurveDisplayMixin._validate_and_get_response_values |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_plotting.py |
_BinaryClassifierCurveDisplayMixin._validate_from_predictions_params |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_plotting.py |
_validate_score_name |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/_plotting.py |
_interval_max_min_ratio |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_plotting.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_pprint.py |
KeyValTuple.__repr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_pprint.py |
_changed_params |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_pprint.py |
_changed_params.has_changed |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter.__init__ |
6 |
0 |
0 |
2 |
1 |
88% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter.format |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter._pprint_estimator |
8 |
0 |
0 |
4 |
1 |
92% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter._format_dict_items |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter._format_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter._format_params_or_dict_items |
47 |
0 |
0 |
14 |
1 |
98% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter._format_items |
42 |
3 |
0 |
14 |
2 |
91% |
| sklearn/utils/_pprint.py |
_EstimatorPrettyPrinter._pprint_key_val_tuple |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_pprint.py |
_safe_repr |
87 |
12 |
0 |
46 |
12 |
82% |
| sklearn/utils/_pprint.py |
(no function) |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_response.py |
_process_predict_proba |
10 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/_response.py |
_process_decision_function |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_response.py |
_get_response_values |
25 |
0 |
0 |
18 |
0 |
100% |
| sklearn/utils/_response.py |
_get_response_values_binary |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_response.py |
(no function) |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
check_library_installed |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
get_columns |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_set_output.py |
ContainerAdapterProtocol.create_container |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
ContainerAdapterProtocol.is_supported_container |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
ContainerAdapterProtocol.rename_columns |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
ContainerAdapterProtocol.hstack |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
PandasAdapter.create_container |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_set_output.py |
PandasAdapter.is_supported_container |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
PandasAdapter.rename_columns |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
PandasAdapter.hstack |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
PolarsAdapter.create_container |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_set_output.py |
PolarsAdapter.is_supported_container |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
PolarsAdapter.rename_columns |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
PolarsAdapter.hstack |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
ContainerAdaptersManager.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
ContainerAdaptersManager.supported_outputs |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
ContainerAdaptersManager.register |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
_get_adapter_from_container |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
_get_container_adapter |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
_get_output_config |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_set_output.py |
_wrap_data_with_container |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_set_output.py |
_wrap_method_output |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
_wrap_method_output.wrapped |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_set_output.py |
_auto_wrap_is_configured |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_set_output.py |
_SetOutputMixin.__init_subclass__ |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/_set_output.py |
_SetOutputMixin.set_output |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_set_output.py |
_safe_set_output |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_set_output.py |
(no function) |
47 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_show_versions.py |
_get_sys_info |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_show_versions.py |
_get_deps_info |
9 |
2 |
0 |
2 |
0 |
82% |
| sklearn/utils/_show_versions.py |
show_versions |
18 |
0 |
0 |
12 |
1 |
97% |
| sklearn/utils/_show_versions.py |
(no function) |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_tags.py |
_safe_tags |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/_tags.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
ignore_warnings |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_testing.py |
_IgnoreWarnings.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
_IgnoreWarnings.__call__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
_IgnoreWarnings.__call__.wrapper |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_testing.py |
_IgnoreWarnings.__repr__ |
7 |
7 |
0 |
4 |
0 |
0% |
| sklearn/utils/_testing.py |
_IgnoreWarnings.__enter__ |
7 |
1 |
0 |
2 |
1 |
78% |
| sklearn/utils/_testing.py |
_IgnoreWarnings.__exit__ |
5 |
1 |
0 |
2 |
1 |
71% |
| sklearn/utils/_testing.py |
assert_raise_message |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/_testing.py |
assert_allclose |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_testing.py |
assert_allclose_dense_sparse |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_testing.py |
set_random_state |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_testing.py |
check_skip_network |
2 |
2 |
0 |
2 |
0 |
0% |
| sklearn/utils/_testing.py |
_delete_folder |
6 |
3 |
0 |
4 |
1 |
40% |
| sklearn/utils/_testing.py |
TempMemmap.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
TempMemmap.__enter__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
TempMemmap.__exit__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
create_memmap_backed_data |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
_get_args |
11 |
6 |
0 |
8 |
1 |
42% |
| sklearn/utils/_testing.py |
_get_func_name |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/_testing.py |
check_docstring_parameters |
64 |
6 |
0 |
49 |
4 |
91% |
| sklearn/utils/_testing.py |
assert_run_python_script_without_output |
32 |
4 |
0 |
8 |
1 |
88% |
| sklearn/utils/_testing.py |
_convert_container |
60 |
1 |
0 |
58 |
4 |
96% |
| sklearn/utils/_testing.py |
raises |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
_Raises.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
_Raises.__exit__ |
15 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalClassifier.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalClassifier.set_params |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalClassifier.fit |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalClassifier.predict_proba |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalClassifier.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalClassifier.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalRegressor.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalRegressor.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalRegressor.set_params |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalRegressor.fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalRegressor.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalRegressor.score |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalTransformer.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalTransformer.get_params |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalTransformer.set_params |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalTransformer.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalTransformer.transform |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
MinimalTransformer.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
_array_api_for_tests |
21 |
13 |
0 |
12 |
0 |
24% |
| sklearn/utils/_testing.py |
_get_warnings_filters_info_list |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/_testing.py |
_get_warnings_filters_info_list.WarningInfo.to_filterwarning_str |
4 |
4 |
0 |
2 |
0 |
0% |
| sklearn/utils/_testing.py |
get_pytest_filterwarning_lines |
2 |
2 |
0 |
2 |
0 |
0% |
| sklearn/utils/_testing.py |
turn_warnings_into_errors |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_testing.py |
(no function) |
106 |
3 |
0 |
2 |
0 |
97% |
| sklearn/utils/_user_interface.py |
_message_with_time |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_user_interface.py |
_print_elapsed_time |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/_user_interface.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/class_weight.py |
compute_class_weight |
23 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/class_weight.py |
compute_sample_weight |
34 |
0 |
0 |
22 |
0 |
100% |
| sklearn/utils/class_weight.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/deprecation.py |
deprecated.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/deprecation.py |
deprecated.__call__ |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/deprecation.py |
deprecated._decorate_class |
9 |
0 |
0 |
2 |
1 |
91% |
| sklearn/utils/deprecation.py |
deprecated._decorate_class.wrapped |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/deprecation.py |
deprecated._decorate_fun |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/deprecation.py |
deprecated._decorate_fun.wrapped |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/deprecation.py |
deprecated._decorate_property |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/deprecation.py |
deprecated._decorate_property.wrapped |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/deprecation.py |
_is_deprecated |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/deprecation.py |
_deprecate_Xt_in_inverse_transform |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/deprecation.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/discovery.py |
all_estimators |
31 |
1 |
0 |
25 |
1 |
96% |
| sklearn/utils/discovery.py |
all_estimators.is_abstract |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/discovery.py |
all_displays |
13 |
0 |
0 |
9 |
0 |
100% |
| sklearn/utils/discovery.py |
_is_checked_function |
8 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/discovery.py |
all_functions |
13 |
0 |
0 |
9 |
0 |
100% |
| sklearn/utils/discovery.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_yield_checks |
37 |
0 |
0 |
18 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_yield_classifier_checks |
27 |
0 |
0 |
12 |
2 |
95% |
| sklearn/utils/estimator_checks.py |
check_supervised_y_no_nan |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_yield_regressor_checks |
18 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_yield_transformer_checks |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_yield_clustering_checks |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_yield_outliers_checks |
11 |
0 |
0 |
8 |
1 |
95% |
| sklearn/utils/estimator_checks.py |
_yield_array_api_checks |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_yield_all_checks |
45 |
0 |
0 |
34 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_get_check_estimator_ids |
10 |
0 |
0 |
12 |
1 |
95% |
| sklearn/utils/estimator_checks.py |
_construct_instance |
19 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_maybe_mark_xfail |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_maybe_skip |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_maybe_skip.wrapped |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_should_be_skipped_or_marked |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
parametrize_with_checks |
6 |
0 |
0 |
3 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
parametrize_with_checks.checks_generator |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimator |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimator.checks_generator |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_regression_dataset |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_set_checking_parameters |
69 |
2 |
0 |
66 |
2 |
97% |
| sklearn/utils/estimator_checks.py |
_NotAnArray.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_NotAnArray.__array__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_NotAnArray.__array_function__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_is_pairwise_metric |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_generate_sparse_data |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_array_api_input |
64 |
63 |
0 |
34 |
0 |
1% |
| sklearn/utils/estimator_checks.py |
check_array_api_input_and_values |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_check_estimator_sparse_container |
31 |
0 |
0 |
22 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimator_sparse_matrix |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimator_sparse_array |
2 |
0 |
0 |
2 |
1 |
75% |
| sklearn/utils/estimator_checks.py |
check_sample_weights_pandas_series |
15 |
1 |
0 |
2 |
0 |
94% |
| sklearn/utils/estimator_checks.py |
check_sample_weights_not_an_array |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_sample_weights_list |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_sample_weights_shape |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_sample_weights_invariance |
27 |
0 |
2 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_sample_weights_not_overwritten |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_dtype_object |
20 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_complex_data |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_dict_unchanged |
23 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_is_public_parameter |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_dont_overwrite_parameters |
21 |
1 |
0 |
12 |
1 |
94% |
| sklearn/utils/estimator_checks.py |
check_fit2d_predict1d |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_apply_on_subsets |
10 |
2 |
0 |
10 |
1 |
75% |
| sklearn/utils/estimator_checks.py |
check_methods_subset_invariance |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_methods_sample_order_invariance |
19 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_fit2d_1sample |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_fit2d_1feature |
19 |
1 |
0 |
10 |
1 |
93% |
| sklearn/utils/estimator_checks.py |
check_fit1d |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_transformer_general |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_transformer_data_not_an_array |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_transformers_unfitted |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_transformers_unfitted_stateless |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_check_transformer |
36 |
2 |
0 |
22 |
2 |
93% |
| sklearn/utils/estimator_checks.py |
check_pipeline_consistency |
19 |
2 |
0 |
6 |
1 |
88% |
| sklearn/utils/estimator_checks.py |
check_fit_score_takes_y |
17 |
1 |
0 |
8 |
1 |
92% |
| sklearn/utils/estimator_checks.py |
check_estimators_dtypes |
16 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_transformer_preserve_dtypes |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimators_empty_data_messages |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimators_nan_inf |
25 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_nonsquare_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimators_pickle |
26 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimators_partial_fit_n_features |
15 |
2 |
0 |
6 |
0 |
90% |
| sklearn/utils/estimator_checks.py |
check_classifier_multioutput |
29 |
0 |
0 |
14 |
1 |
98% |
| sklearn/utils/estimator_checks.py |
check_regressor_multioutput |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_clustering |
35 |
1 |
0 |
12 |
1 |
96% |
| sklearn/utils/estimator_checks.py |
check_clusterer_compute_labels_predict |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_classifiers_one_label |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_classifiers_one_label_sample_weights |
18 |
1 |
0 |
6 |
1 |
92% |
| sklearn/utils/estimator_checks.py |
check_classifiers_train |
75 |
4 |
0 |
48 |
3 |
93% |
| sklearn/utils/estimator_checks.py |
check_outlier_corruption |
8 |
2 |
0 |
2 |
1 |
70% |
| sklearn/utils/estimator_checks.py |
check_outliers_train |
40 |
2 |
0 |
14 |
2 |
93% |
| sklearn/utils/estimator_checks.py |
check_outlier_contamination |
10 |
1 |
0 |
11 |
1 |
90% |
| sklearn/utils/estimator_checks.py |
check_classifiers_multilabel_representation_invariance |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_classifiers_multilabel_output_format_predict |
16 |
1 |
0 |
2 |
1 |
89% |
| sklearn/utils/estimator_checks.py |
check_classifiers_multilabel_output_format_predict_proba |
27 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_classifiers_multilabel_output_format_decision_function |
16 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_get_feature_names_out_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimators_fit_returns_self |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimators_unfitted |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_supervised_y_2d |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_classifiers_predictions |
21 |
0 |
0 |
10 |
1 |
97% |
| sklearn/utils/estimator_checks.py |
_choose_check_classifiers_labels |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_classifiers_classes |
22 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_regressors_int |
19 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_regressors_train |
26 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_regressors_no_decision_function |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_class_weight_classifiers |
27 |
1 |
0 |
18 |
1 |
96% |
| sklearn/utils/estimator_checks.py |
check_class_weight_balanced_classifiers |
12 |
12 |
0 |
4 |
0 |
0% |
| sklearn/utils/estimator_checks.py |
check_class_weight_balanced_linear_classifier |
18 |
1 |
0 |
6 |
1 |
92% |
| sklearn/utils/estimator_checks.py |
check_estimators_overwrite_params |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_no_attributes_set_in_init |
11 |
1 |
0 |
6 |
1 |
88% |
| sklearn/utils/estimator_checks.py |
check_sparsify_coefficients |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_classifier_data_not_an_array |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_regressor_data_not_an_array |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimators_data_not_an_array |
25 |
3 |
0 |
8 |
1 |
88% |
| sklearn/utils/estimator_checks.py |
check_parameters_default_constructible |
30 |
5 |
0 |
14 |
2 |
84% |
| sklearn/utils/estimator_checks.py |
check_parameters_default_constructible.param_filter |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_enforce_estimator_tags_y |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_enforce_estimator_tags_X |
14 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_non_transformer_estimators_n_iter |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_transformer_n_iter |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_get_params_invariance |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_set_params |
33 |
2 |
0 |
10 |
0 |
95% |
| sklearn/utils/estimator_checks.py |
check_classifiers_regression_target |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_decision_proba_consistency |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_outliers_fit_predict |
22 |
2 |
0 |
6 |
1 |
89% |
| sklearn/utils/estimator_checks.py |
check_fit_non_negative |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_fit_idempotent |
27 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_fit_check_is_fitted |
23 |
2 |
0 |
6 |
0 |
93% |
| sklearn/utils/estimator_checks.py |
check_n_features_in |
16 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_requires_y_none |
12 |
1 |
0 |
3 |
2 |
80% |
| sklearn/utils/estimator_checks.py |
check_n_features_in_after_fitting |
38 |
0 |
0 |
20 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_estimator_get_tags_default_keys |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_dataframe_column_names_consistency |
61 |
2 |
0 |
40 |
0 |
98% |
| sklearn/utils/estimator_checks.py |
check_transformer_get_feature_names_out |
26 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_transformer_get_feature_names_out_pandas |
30 |
2 |
0 |
12 |
0 |
95% |
| sklearn/utils/estimator_checks.py |
check_param_validation |
46 |
2 |
0 |
31 |
2 |
95% |
| sklearn/utils/estimator_checks.py |
check_set_output_transform |
25 |
2 |
0 |
10 |
2 |
89% |
| sklearn/utils/estimator_checks.py |
check_set_output_transform.fit_then_transform |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/utils/estimator_checks.py |
check_set_output_transform.fit_transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_output_from_fit_transform |
17 |
0 |
0 |
13 |
1 |
97% |
| sklearn/utils/estimator_checks.py |
_check_generated_dataframe |
9 |
2 |
0 |
0 |
0 |
78% |
| sklearn/utils/estimator_checks.py |
_check_set_output_transform_dataframe |
30 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_check_set_output_transform_pandas_context |
3 |
0 |
2 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_set_output_transform_pandas |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_global_output_transform_pandas |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_check_set_output_transform_polars_context |
5 |
0 |
2 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
_check_set_output_transform_polars_context.create_dataframe |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_set_output_transform_polars |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
check_global_set_output_transform_polars |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/estimator_checks.py |
(no function) |
225 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/extmath.py |
squared_norm |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/utils/extmath.py |
row_norms |
14 |
1 |
0 |
8 |
1 |
91% |
| sklearn/utils/extmath.py |
fast_logdet |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/extmath.py |
density |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/extmath.py |
safe_sparse_dot |
15 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/extmath.py |
randomized_range_finder |
29 |
5 |
0 |
22 |
4 |
82% |
| sklearn/utils/extmath.py |
randomized_svd |
26 |
1 |
0 |
16 |
1 |
95% |
| sklearn/utils/extmath.py |
_randomized_eigsh |
8 |
0 |
4 |
0 |
0 |
100% |
| sklearn/utils/extmath.py |
weighted_mode |
22 |
1 |
0 |
6 |
1 |
93% |
| sklearn/utils/extmath.py |
cartesian |
10 |
0 |
0 |
8 |
1 |
94% |
| sklearn/utils/extmath.py |
svd_flip |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/extmath.py |
log_logistic |
6 |
0 |
0 |
2 |
1 |
88% |
| sklearn/utils/extmath.py |
softmax |
11 |
1 |
0 |
4 |
1 |
87% |
| sklearn/utils/extmath.py |
make_nonnegative |
6 |
1 |
0 |
4 |
1 |
80% |
| sklearn/utils/extmath.py |
_safe_accumulator_op |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/extmath.py |
_incremental_mean_and_var |
33 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/extmath.py |
_deterministic_vector_sign_flip |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/extmath.py |
stable_cumsum |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/extmath.py |
_nanaverage |
13 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/extmath.py |
safe_sqr |
9 |
1 |
0 |
6 |
2 |
80% |
| sklearn/utils/extmath.py |
_approximate_mode |
16 |
0 |
0 |
6 |
1 |
95% |
| sklearn/utils/extmath.py |
(no function) |
33 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/fixes.py |
_object_dtype_isnan |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/fixes.py |
_percentile |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/fixes.py |
_mode |
7 |
1 |
0 |
6 |
2 |
77% |
| sklearn/utils/fixes.py |
_sparse_min_max |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/fixes.py |
_sparse_nan_min_max |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/fixes.py |
pd_fillna |
7 |
1 |
0 |
4 |
1 |
82% |
| sklearn/utils/fixes.py |
_preserve_dia_indices_dtype |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/fixes.py |
_smallest_admissible_index_dtype |
24 |
0 |
0 |
22 |
0 |
100% |
| sklearn/utils/fixes.py |
tarfile_extractall |
4 |
4 |
0 |
0 |
0 |
0% |
| sklearn/utils/fixes.py |
_in_unstable_openblas_configuration |
15 |
1 |
2 |
8 |
2 |
87% |
| sklearn/utils/fixes.py |
(no function) |
116 |
59 |
1 |
30 |
5 |
42% |
| sklearn/utils/graph.py |
single_source_shortest_path_length |
17 |
2 |
0 |
10 |
2 |
85% |
| sklearn/utils/graph.py |
_fix_connected_components |
20 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/graph.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/metadata_routing.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/metaestimators.py |
_BaseComposition.__init__ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/metaestimators.py |
_BaseComposition._get_params |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/metaestimators.py |
_BaseComposition._set_params |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/metaestimators.py |
_BaseComposition._replace_estimator |
6 |
0 |
0 |
4 |
1 |
90% |
| sklearn/utils/metaestimators.py |
_BaseComposition._validate_names |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/metaestimators.py |
_safe_split |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/metaestimators.py |
(no function) |
18 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/multiclass.py |
_unique_multiclass |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/multiclass.py |
_unique_indicator |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/multiclass.py |
unique_labels |
21 |
2 |
0 |
22 |
1 |
88% |
| sklearn/utils/multiclass.py |
_is_integral_float |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/multiclass.py |
is_multilabel |
20 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/multiclass.py |
check_classification_targets |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/multiclass.py |
type_of_target |
48 |
1 |
0 |
34 |
1 |
98% |
| sklearn/utils/multiclass.py |
_check_partial_fit_first_call |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/multiclass.py |
class_distribution |
33 |
2 |
0 |
14 |
1 |
94% |
| sklearn/utils/multiclass.py |
_ovr_decision_function |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/multiclass.py |
(no function) |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/optimize.py |
_line_search_wolfe12 |
37 |
0 |
0 |
22 |
2 |
97% |
| sklearn/utils/optimize.py |
_cg |
40 |
3 |
0 |
20 |
3 |
87% |
| sklearn/utils/optimize.py |
_newton_cg |
37 |
1 |
0 |
14 |
2 |
94% |
| sklearn/utils/optimize.py |
_check_optimize_result |
15 |
1 |
0 |
8 |
1 |
91% |
| sklearn/utils/optimize.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/parallel.py |
_with_config |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/parallel.py |
Parallel.__call__ |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/parallel.py |
delayed |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/parallel.py |
delayed.delayed_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/parallel.py |
_FuncWrapper.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/parallel.py |
_FuncWrapper.with_config |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/parallel.py |
_FuncWrapper.__call__ |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/parallel.py |
(no function) |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/random.py |
_random_choice_csc |
33 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/random.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
_raise_typeerror |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
_raise_error_wrong_axis |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
inplace_csr_column_scale |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
inplace_csr_row_scale |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
mean_variance_axis |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
incr_mean_variance_axis |
16 |
1 |
0 |
14 |
1 |
93% |
| sklearn/utils/sparsefuncs.py |
inplace_column_scale |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
inplace_row_scale |
5 |
1 |
0 |
4 |
1 |
78% |
| sklearn/utils/sparsefuncs.py |
inplace_swap_row_csc |
10 |
2 |
0 |
8 |
2 |
78% |
| sklearn/utils/sparsefuncs.py |
inplace_swap_row_csr |
22 |
3 |
0 |
12 |
4 |
79% |
| sklearn/utils/sparsefuncs.py |
inplace_swap_row |
5 |
1 |
0 |
4 |
1 |
78% |
| sklearn/utils/sparsefuncs.py |
inplace_swap_column |
9 |
2 |
0 |
8 |
2 |
76% |
| sklearn/utils/sparsefuncs.py |
min_max_axis |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
count_nonzero |
21 |
0 |
0 |
18 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
_get_median |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
_get_elem_at_rank |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
csc_median_axis_0 |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
_implicit_column_offset |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/sparsefuncs.py |
(no function) |
26 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/stats.py |
_weighted_percentile |
21 |
1 |
0 |
10 |
1 |
94% |
| sklearn/utils/stats.py |
(no function) |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/__init__.py |
(no function) |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_arpack.py |
test_init_arpack_v0 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_arpack.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_get_namespace_ndarray_default |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_get_namespace_ndarray_creation_device |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_get_namespace_ndarray_with_dispatch |
6 |
6 |
0 |
2 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
test_get_namespace_array_api |
8 |
8 |
0 |
4 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
_AdjustableNameAPITestWrapper.__init__ |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
test_array_api_wrapper_astype |
8 |
7 |
0 |
0 |
0 |
12% |
| sklearn/utils/tests/test_array_api.py |
test_asarray_with_order |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_asarray_with_order_ignored |
8 |
7 |
0 |
0 |
0 |
12% |
| sklearn/utils/tests/test_array_api.py |
test_average |
11 |
10 |
0 |
4 |
0 |
7% |
| sklearn/utils/tests/test_array_api.py |
test_average_raises_with_wrong_dtype |
9 |
8 |
0 |
4 |
0 |
8% |
| sklearn/utils/tests/test_array_api.py |
test_average_raises_with_invalid_parameters |
7 |
6 |
0 |
2 |
0 |
11% |
| sklearn/utils/tests/test_array_api.py |
test_device_raises_if_no_input |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_device_inspection |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_device_inspection.Device.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_device_inspection.Device.__eq__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_device_inspection.Device.__hash__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_device_inspection.Device.__str__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_device_inspection.Array.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_nan_reductions |
5 |
5 |
0 |
2 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
test_ravel |
10 |
9 |
0 |
4 |
0 |
7% |
| sklearn/utils/tests/test_array_api.py |
test_convert_to_numpy_gpu |
9 |
9 |
0 |
4 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
test_convert_to_numpy_cpu |
5 |
4 |
0 |
0 |
0 |
20% |
| sklearn/utils/tests/test_array_api.py |
SimpleEstimator.fit |
3 |
3 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
test_convert_estimator_to_ndarray |
5 |
5 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
test_convert_estimator_to_array_api |
5 |
5 |
0 |
2 |
0 |
0% |
| sklearn/utils/tests/test_array_api.py |
test_reshape_behavior |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_array_api.py |
test_get_namespace_array_api_isdtype |
26 |
1 |
0 |
8 |
1 |
94% |
| sklearn/utils/tests/test_array_api.py |
test_indexing_dtype |
4 |
3 |
0 |
2 |
0 |
17% |
| sklearn/utils/tests/test_array_api.py |
test_isin |
10 |
9 |
0 |
2 |
0 |
8% |
| sklearn/utils/tests/test_array_api.py |
test_get_namespace_and_device |
13 |
12 |
0 |
2 |
0 |
7% |
| sklearn/utils/tests/test_array_api.py |
(no function) |
62 |
0 |
0 |
2 |
1 |
98% |
| sklearn/utils/tests/test_arrayfuncs.py |
test_min_pos |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_arrayfuncs.py |
test_min_pos_no_positive |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_arrayfuncs.py |
test_all_with_any_reduction_axis_1 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_arrayfuncs.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_bunch.py |
test_bunch_attribute_deprecation |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_bunch.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_chunking.py |
test_gen_even_slices |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_chunking.py |
test_get_chunk_n_rows |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_chunking.py |
test_get_chunk_n_rows_warns |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_chunking.py |
(no function) |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_class_weight |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_class_weight_not_present |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_class_weight_dict |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_class_weight_invariance |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_class_weight_balanced_negative |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_class_weight_balanced_unordered |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_class_weight_default |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_sample_weight |
23 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_sample_weight_with_subsample |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_sample_weight_errors |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_sample_weight_more_than_32 |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_class_weight_does_not_contains_more_classes |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
test_compute_sample_weight_sparse |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_class_weight.py |
(no function) |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
_numpy_to_cython |
5 |
0 |
0 |
4 |
1 |
89% |
| sklearn/utils/tests/test_cython_blas.py |
_no_op |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_dot |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_asum |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_axpy |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_nrm2 |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_copy |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_scal |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_rotg |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_rotg.expected_rotg |
7 |
1 |
0 |
2 |
1 |
78% |
| sklearn/utils/tests/test_cython_blas.py |
test_rot |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_gemv |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_ger |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
test_gemm |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_blas.py |
(no function) |
36 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_cython_templating.py |
test_files_generated_by_templates_are_git_ignored |
10 |
1 |
0 |
6 |
1 |
88% |
| sklearn/utils/tests/test_cython_templating.py |
(no function) |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
MockClass2.method |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
MockClass2.n_features_ |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_deprecation.py |
MockClass3.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
MockClass5.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
MockClass6.__new__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
mock_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
test_deprecated |
13 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
test_is_deprecated |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
test_pickle |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_deprecation.py |
(no function) |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_encode_util |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_encode_with_check_unknown |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
_assert_check_unknown |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_check_unknown |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_check_unknown_missing_values |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_unique_util_missing_values_objects |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_unique_util_missing_values_numeric |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_unique_util_with_all_missing_values |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_check_unknown_with_both_missing_values |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
test_get_counts |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_encode.py |
(no function) |
22 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
BaseBadClassifier.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
BaseBadClassifier.predict |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ChangesDict.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ChangesDict.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ChangesDict.predict |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
SetsWrongAttribute.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
SetsWrongAttribute.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ChangesWrongAttribute.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ChangesWrongAttribute.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ChangesUnderscoreAttribute.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
RaisesErrorInSetParams.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
RaisesErrorInSetParams.set_params |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
RaisesErrorInSetParams.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
HasMutableParameters.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
HasMutableParameters.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
HasImmutableParameters.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
HasImmutableParameters.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ModifiesValueInsteadOfRaisingError.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ModifiesValueInsteadOfRaisingError.set_params |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ModifiesValueInsteadOfRaisingError.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ModifiesAnotherValue.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ModifiesAnotherValue.set_params |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
ModifiesAnotherValue.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
NoCheckinPredict.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
NoSparseClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
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NoSparseClassifier.fit |
8 |
0 |
0 |
6 |
1 |
93% |
| sklearn/utils/tests/test_estimator_checks.py |
NoSparseClassifier.predict |
2 |
0 |
0 |
0 |
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100% |
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CorrectNotFittedErrorClassifier.fit |
3 |
3 |
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0 |
0 |
0% |
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CorrectNotFittedErrorClassifier.predict |
3 |
2 |
0 |
0 |
0 |
33% |
| sklearn/utils/tests/test_estimator_checks.py |
NoSampleWeightPandasSeriesType.fit |
5 |
0 |
0 |
2 |
0 |
100% |
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NoSampleWeightPandasSeriesType.predict |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
BadBalancedWeightsClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
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BadBalancedWeightsClassifier.fit |
9 |
0 |
0 |
2 |
0 |
100% |
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BadTransformerWithoutMixin.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
BadTransformerWithoutMixin.transform |
2 |
0 |
0 |
0 |
0 |
100% |
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NotInvariantPredict.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
NotInvariantPredict.predict |
4 |
0 |
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2 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
NotInvariantSampleOrder.fit |
3 |
0 |
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0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
NotInvariantSampleOrder.predict |
4 |
0 |
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2 |
0 |
100% |
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OneClassSampleErrorClassifier.__init__ |
1 |
0 |
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0 |
0 |
100% |
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OneClassSampleErrorClassifier.fit |
14 |
2 |
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8 |
1 |
86% |
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OneClassSampleErrorClassifier.predict |
5 |
1 |
0 |
2 |
1 |
71% |
| sklearn/utils/tests/test_estimator_checks.py |
LargeSparseNotSupportedClassifier.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
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LargeSparseNotSupportedClassifier.fit |
12 |
1 |
0 |
12 |
3 |
83% |
| sklearn/utils/tests/test_estimator_checks.py |
SparseTransformer.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
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SparseTransformer.fit |
2 |
0 |
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0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
SparseTransformer.fit_transform |
1 |
0 |
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0 |
0 |
100% |
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SparseTransformer.transform |
4 |
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0 |
100% |
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EstimatorInconsistentForPandas.fit |
11 |
4 |
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2 |
0 |
69% |
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EstimatorInconsistentForPandas.predict |
2 |
0 |
0 |
0 |
0 |
100% |
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UntaggedBinaryClassifier.fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
UntaggedBinaryClassifier.partial_fit |
4 |
1 |
0 |
2 |
1 |
67% |
| sklearn/utils/tests/test_estimator_checks.py |
TaggedBinaryClassifier._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
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EstimatorMissingDefaultTags._get_tags |
3 |
0 |
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0 |
0 |
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RequiresPositiveXRegressor.fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
RequiresPositiveXRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
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RequiresPositiveYRegressor.fit |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
RequiresPositiveYRegressor._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
PoorScoreLogisticRegression.decision_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
PoorScoreLogisticRegression._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
PartialFitChecksName.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
PartialFitChecksName.partial_fit |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
BrokenArrayAPI.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_estimator_checks.py |
BrokenArrayAPI.predict |
5 |
5 |
0 |
2 |
0 |
0% |
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test_check_array_api_input |
10 |
6 |
0 |
2 |
0 |
33% |
| sklearn/utils/tests/test_estimator_checks.py |
test_not_an_array_array_function |
5 |
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0 |
2 |
0 |
100% |
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test_check_fit_score_takes_y_works_on_deprecated_fit |
4 |
0 |
0 |
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0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
test_check_fit_score_takes_y_works_on_deprecated_fit.TestEstimatorWithDeprecatedFitMethod.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
test_check_estimator |
82 |
2 |
0 |
50 |
2 |
97% |
| sklearn/utils/tests/test_estimator_checks.py |
test_check_outlier_corruption |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
test_check_estimator_transformer_no_mixin |
2 |
0 |
0 |
2 |
0 |
100% |
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test_check_estimator_clones |
18 |
0 |
0 |
6 |
0 |
100% |
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test_check_estimators_unfitted |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
test_check_no_attributes_set_in_init |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
test_check_no_attributes_set_in_init.NonConformantEstimatorPrivateSet.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_checks.py |
test_check_no_attributes_set_in_init.NonConformantEstimatorNoParamSet.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
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test_check_estimator_pairwise |
4 |
0 |
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0 |
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test_check_classifier_data_not_an_array |
2 |
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test_check_regressor_data_not_an_array |
2 |
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test_check_estimator_get_tags_default_keys |
6 |
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test_check_dataframe_column_names_consistency |
10 |
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4 |
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_BaseMultiLabelClassifierMock.__init__ |
1 |
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_BaseMultiLabelClassifierMock.fit |
1 |
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_BaseMultiLabelClassifierMock._more_tags |
1 |
1 |
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0% |
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test_check_classifiers_multilabel_output_format_predict |
17 |
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test_check_classifiers_multilabel_output_format_predict.MultiLabelClassifierPredict.predict |
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test_check_classifiers_multilabel_output_format_predict_proba |
42 |
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24 |
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test_check_classifiers_multilabel_output_format_predict_proba.MultiLabelClassifierPredictProba.predict_proba |
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test_check_classifiers_multilabel_output_format_decision_function |
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| sklearn/utils/tests/test_estimator_checks.py |
test_check_classifiers_multilabel_output_format_decision_function.MultiLabelClassifierDecisionFunction.decision_function |
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0 |
0 |
0 |
100% |
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run_tests_without_pytest |
7 |
7 |
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test_check_class_weight_balanced_linear_classifier |
3 |
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test_all_estimators_all_public |
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test_xfail_ignored_in_check_estimator |
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test_minimal_class_implementation_checks |
1 |
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0 |
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test_check_fit_check_is_fitted |
9 |
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test_check_fit_check_is_fitted.Estimator.__init__ |
1 |
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test_check_fit_check_is_fitted.Estimator.fit |
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4 |
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89% |
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test_check_fit_check_is_fitted.Estimator.__sklearn_is_fitted__ |
3 |
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100% |
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test_check_requires_y_none |
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test_check_requires_y_none.Estimator.fit |
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test_non_deterministic_estimator_skip_tests |
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test_non_deterministic_estimator_skip_tests.Estimator._more_tags |
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test_check_outlier_contamination |
22 |
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6 |
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100% |
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test_check_outlier_contamination.OutlierDetectorWithoutConstraint.__init__ |
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test_check_outlier_contamination.OutlierDetectorWithoutConstraint.fit |
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test_check_outlier_contamination.OutlierDetectorWithoutConstraint.predict |
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1 |
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0% |
| sklearn/utils/tests/test_estimator_checks.py |
test_decision_proba_tie_ranking |
2 |
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100% |
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(no function) |
152 |
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test_write_label_html |
12 |
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4 |
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test_get_visual_block_single_str_none |
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test_get_visual_block_single_estimator |
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test_get_visual_block_pipeline |
6 |
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test_get_visual_block_feature_union |
6 |
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test_get_visual_block_voting |
6 |
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test_get_visual_block_column_transformer |
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test_estimator_html_repr_pipeline |
29 |
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10 |
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test_stacking_classifier |
7 |
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test_stacking_regressor |
11 |
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test_birch_duck_typing_meta |
6 |
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test_ovo_classifier_duck_typing_meta |
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test_duck_typing_nested_estimator |
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test_one_estimator_print_change_only |
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test_fallback_exists |
3 |
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test_show_arrow_pipeline |
3 |
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test_invalid_parameters_in_stacking |
3 |
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test_estimator_get_params_return_cls |
4 |
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test_estimator_get_params_return_cls.MyEstimator.get_params |
1 |
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test_estimator_html_repr_unfitted_vs_fitted |
7 |
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test_estimator_html_repr_unfitted_vs_fitted.MyEstimator.fit |
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test_estimator_html_repr_fitted_icon |
6 |
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0 |
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test_html_documentation_link_mixin_sklearn |
9 |
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4 |
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test_html_documentation_link_mixin_get_doc_link |
7 |
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100% |
| sklearn/utils/tests/test_estimator_html_repr.py |
test_html_documentation_link_mixin_get_doc_link_out_of_library |
3 |
0 |
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0 |
100% |
| sklearn/utils/tests/test_estimator_html_repr.py |
test_html_documentation_link_mixin_doc_link_url_param_generator |
5 |
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100% |
| sklearn/utils/tests/test_estimator_html_repr.py |
test_html_documentation_link_mixin_doc_link_url_param_generator.url_param_generator |
1 |
0 |
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0 |
0 |
100% |
| sklearn/utils/tests/test_estimator_html_repr.py |
set_non_utf8_locale |
6 |
2 |
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0 |
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67% |
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test_non_utf8_locale |
1 |
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0 |
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(no function) |
63 |
0 |
0 |
0 |
0 |
100% |
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test_density |
5 |
0 |
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0 |
0 |
100% |
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test_uniform_weights |
8 |
0 |
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100% |
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test_random_weights |
9 |
0 |
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test_randomized_svd_low_rank_all_dtypes |
37 |
0 |
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8 |
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100% |
| sklearn/utils/tests/test_extmath.py |
test_randomized_eigsh |
10 |
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100% |
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test_randomized_eigsh_compared_to_others |
27 |
0 |
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100% |
| sklearn/utils/tests/test_extmath.py |
test_randomized_eigsh_reconst_low_rank |
9 |
0 |
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0 |
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100% |
| sklearn/utils/tests/test_extmath.py |
test_row_norms |
17 |
0 |
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6 |
0 |
100% |
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test_randomized_svd_low_rank_with_noise |
12 |
0 |
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test_randomized_svd_infinite_rank |
12 |
0 |
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100% |
| sklearn/utils/tests/test_extmath.py |
test_randomized_svd_transpose_consistency |
16 |
0 |
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0 |
0 |
100% |
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test_randomized_svd_power_iteration_normalizer |
20 |
0 |
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4 |
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| sklearn/utils/tests/test_extmath.py |
test_randomized_svd_sparse_warnings |
7 |
0 |
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| sklearn/utils/tests/test_extmath.py |
test_svd_flip |
15 |
0 |
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0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_svd_flip_max_abs_cols |
9 |
0 |
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0 |
0 |
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| sklearn/utils/tests/test_extmath.py |
test_randomized_svd_sign_flip |
9 |
0 |
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2 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_randomized_svd_sign_flip_with_transpose |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_randomized_svd_sign_flip_with_transpose.max_loading_is_positive |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_randomized_svd_lapack_driver |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_cartesian |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_cartesian_mix_types |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_logistic_sigmoid |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_logistic_sigmoid.naive_log_logistic |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
rng |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_weighted_mean_and_variance_simple |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_weighted_mean_and_variance |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_weighted_mean_and_variance._assert |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_weighted_mean_and_variance_ignore_nan |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_variance_update_formulas |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_mean_and_variance_ignore_nan |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_variance_numerical_stability |
26 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_variance_numerical_stability.np_var |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_variance_numerical_stability.one_pass_var |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_variance_numerical_stability.two_pass_var |
3 |
3 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_variance_numerical_stability.naive_mean_variance_update |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_incremental_variance_ddof |
22 |
0 |
0 |
8 |
1 |
97% |
| sklearn/utils/tests/test_extmath.py |
test_vector_sign_flip |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_softmax |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_stable_cumsum |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_safe_sparse_dot_2d |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_safe_sparse_dot_nd |
13 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_safe_sparse_dot_2d_1d |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_safe_sparse_dot_dense_output |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
test_approximate_mode |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_extmath.py |
(no function) |
75 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_fast_dict.py |
test_int_float_dict |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_fast_dict.py |
test_int_float_dict_argmin |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_fast_dict.py |
test_to_arrays |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_fast_dict.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_fixes.py |
test_object_dtype_isnan |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_fixes.py |
test_smallest_admissible_index_dtype_max_val |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_fixes.py |
test_smallest_admissible_index_dtype_without_checking_contents |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_fixes.py |
test_smallest_admissible_index_dtype_by_checking_contents |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_fixes.py |
test_smallest_admissible_index_dtype_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_fixes.py |
(no function) |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_graph.py |
test_fix_connected_components |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_graph.py |
test_fix_connected_components_precomputed |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_graph.py |
test_fix_connected_components_wrong_mode |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_graph.py |
test_fix_connected_components_connectivity_mode |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_graph.py |
test_fix_connected_components_distance_mode |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_graph.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_polars_indexing |
19 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_determine_key_type |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_determine_key_type_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_determine_key_type_slice_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_determine_key_type_array_api |
13 |
13 |
0 |
6 |
0 |
0% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_2d_container_axis_0 |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_1d_container |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_2d_container_axis_1 |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_2d_read_only_axis_1 |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_1d_container_mask |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_2d_mask |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_2d_scalar_axis_0 |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_1d_scalar |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_2d_scalar_axis_1 |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_None_axis_0 |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_pandas_no_matching_cols_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_error_axis |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_1d_array_error |
12 |
0 |
0 |
8 |
1 |
95% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_container_axis_0_unsupported_type |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_pandas_no_settingwithcopy_warning |
14 |
2 |
0 |
6 |
2 |
80% |
| sklearn/utils/tests/test_indexing.py |
test_safe_indexing_list_axis_1_unsupported |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_safe_assign |
19 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_get_column_indices_error |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_get_column_indices_pandas_nonunique_columns_error |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_get_column_indices_interchange |
15 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_get_column_indices_interchange.MockDataFrame.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_get_column_indices_interchange.MockDataFrame.__getattr__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_resample |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_resample_stratified |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_resample_stratified_replace |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_resample_stratify_2dy |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_resample_stratify_sparse_error |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_shuffle_on_ndim_equals_three |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_shuffle_on_ndim_equals_three.to_tuple |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
test_shuffle_dont_convert_to_array |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_indexing.py |
(no function) |
79 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mask.py |
test_safe_mask |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mask.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_metaestimators.py |
AvailableParameterEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_metaestimators.py |
AvailableParameterEstimator.available_func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_metaestimators.py |
test_available_if_docstring |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_metaestimators.py |
test_available_if |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_metaestimators.py |
test_available_if_unbound_method |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_metaestimators.py |
test_available_if_methods_can_be_pickled |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_metaestimators.py |
(no function) |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_missing.py |
test_is_scalar_nan |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_missing.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
iris |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
_success |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
_fail |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_check_on_fit_success |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_check_on_fit_fail |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_check_X_on_predict_success |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_check_X_on_predict_fail |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_checking_classifier |
26 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_checking_classifier_with_params |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_checking_classifier_fit_params |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_checking_classifier_missing_fit_params |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_checking_classifier_methods_to_check |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
test_mock_estimator_on_off_prediction |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_mocking.py |
(no function) |
32 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
_generate_sparse |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_unique_labels |
14 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_unique_labels_non_specific |
10 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_unique_labels_mixed_types |
14 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_is_multilabel |
11 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_is_multilabel_array_api_compliance |
10 |
9 |
0 |
8 |
0 |
6% |
| sklearn/utils/tests/test_multiclass.py |
test_check_classification_targets |
8 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_type_of_target |
11 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_type_of_target_pandas_sparse |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_type_of_target_pandas_nullable |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_unique_labels_pandas_nullable |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_class_distribution |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_safe_split_with_precomputed_kernel |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_ovr_decision_function |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
test_labels_in_bytes_format |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_multiclass.py |
(no function) |
38 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_murmurhash.py |
test_mmhash3_int |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_murmurhash.py |
test_mmhash3_int_array |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_murmurhash.py |
test_mmhash3_bytes |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_murmurhash.py |
test_mmhash3_unicode |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_murmurhash.py |
test_no_collision_on_byte_range |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_murmurhash.py |
test_uniform_distribution |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_murmurhash.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_optimize.py |
test_newton_cg |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_optimize.py |
test_newton_cg.func |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_optimize.py |
test_newton_cg.grad |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_optimize.py |
test_newton_cg.hess |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_optimize.py |
test_newton_cg.grad_hess |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_optimize.py |
test_newton_cg_verbosity |
46 |
0 |
0 |
36 |
0 |
100% |
| sklearn/utils/tests/test_optimize.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_parallel.py |
get_working_memory |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_parallel.py |
test_configuration_passes_through_to_joblib |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_parallel.py |
test_parallel_delayed_warnings |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_parallel.py |
test_dispatch_config_parallel |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_parallel.py |
test_dispatch_config_parallel.TransformerRequiredDataFrame.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_parallel.py |
test_dispatch_config_parallel.TransformerRequiredDataFrame.transform |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_parallel.py |
(no function) |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
_func |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
_Class._method |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
_Class._deprecated_method |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
_Estimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
_Estimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_interval_range |
12 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_interval_large_integers |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_interval_inf_in_bounds |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_nan_not_in_interval |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_interval_errors |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_stroptions |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_options |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_instances_of_type_human_readable |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hasmethods |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hasmethods._Good.a |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hasmethods._Good.b |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hasmethods._Bad.a |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_generate_invalid_param_val |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_generate_invalid_param_val_2_intervals |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_generate_invalid_param_val_all_valid |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_generate_valid_param |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_is_satisfied_by |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_make_constraint |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_make_constraint_unknown |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_validate_params |
12 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_validate_params_missing_params |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_validate_params_missing_params.func |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_decorate_validated_function |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_validate_params_method |
5 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_validate_params_estimator |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_stroptions_deprecated_subset |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hidden_constraint |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hidden_constraint.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hidden_stroptions |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_hidden_stroptions.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_validate_params_set_param_constraints_attribute |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_boolean_constraint_deprecated_int |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_boolean_constraint_deprecated_int.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_no_validation |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_no_validation.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_pandas_na_constraint_with_pd_na |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_iterable_not_string |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_cv_objects |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_third_party_estimator |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_third_party_estimator.ThirdPartyEstimator.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_third_party_estimator.ThirdPartyEstimator.fit |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_interval_real_not_int |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_real_not_int |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_skip_param_validation |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_skip_param_validation.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_skip_nested_validation |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_skip_nested_validation.f |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_skip_nested_validation.g |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_skip_nested_validation_and_config_context |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
test_skip_nested_validation_and_config_context.g |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_param_validation.py |
(no function) |
72 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_plotting.py |
metric |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_plotting.py |
neg_metric |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_plotting.py |
test_validate_score_name |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_plotting.py |
test_inverval_max_min_ratio |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_plotting.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
LogisticRegression.__init__ |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
LogisticRegression.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_pprint.py |
StandardScaler.__init__ |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
StandardScaler.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_pprint.py |
RFE.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
GridSearchCV.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
CountVectorizer.__init__ |
17 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
Pipeline.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
SVC.__init__ |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
PCA.__init__ |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
NMF.__init__ |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
SimpleImputer.__init__ |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_basic |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_changed_only |
14 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_pipeline |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_deeply_nested |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_gridsearch |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_gridsearch_pipeline |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_n_max_elements_to_show |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_bruteforce_ellipsis |
20 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_builtin_prettyprinter |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_kwargs_in_init |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_kwargs_in_init.WithKWargs.__init__ |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_kwargs_in_init.WithKWargs.get_params |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_kwargs_in_init.WithKWargs.set_params |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_complexity_print_changed_only |
13 |
0 |
1 |
4 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_complexity_print_changed_only.DummyEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_complexity_print_changed_only.DummyEstimator.__repr__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
test_complexity_print_changed_only.DummyEstimator.transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_pprint.py |
(no function) |
42 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
test_invalid_sample_without_replacement_algorithm |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
test_sample_without_replacement_algorithms |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
test_sample_without_replacement_algorithms.sample_without_replacement_method |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
check_edge_case_of_sample_int |
12 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
check_sample_int |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
check_sample_int_distribution |
10 |
1 |
0 |
6 |
1 |
88% |
| sklearn/utils/tests/test_random.py |
test_random_choice_csc |
28 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
test_random_choice_csc_errors |
16 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
test_our_rand_r |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_random.py |
(no function) |
15 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_regressor_error |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_regressor |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_outlier_detection |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_classifier_unknown_pos_label |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_classifier_inconsistent_y_pred_for_binary_proba |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_binary_classifier_decision_function |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_binary_classifier_predict_proba |
12 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_predict_proba |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_decision_function |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_multiclass |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_with_response_list |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
test_get_response_values_multilabel_indicator |
11 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_response.py |
(no function) |
41 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
assert_csr_equal_values |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
_make_dense_dataset |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
_make_sparse_dataset |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
_make_dense_datasets |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
_make_sparse_datasets |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
_make_fused_types_datasets |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
test_seq_dataset_basic_iteration |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
test_seq_dataset_shuffle |
24 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
test_fused_types_consistency |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
test_buffer_dtype_mismatch_error |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_seq_dataset.py |
(no function) |
30 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_pandas_adapter |
39 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_polars_adapter |
32 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test__container_error_validation |
6 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorNoSetOutputWithTransform.transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithSetOutput.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithSetOutput.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithSetOutput.get_feature_names_out |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test__safe_set_output |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorNoSetOutputWithTransformNoFeatureNamesOut.transform |
0 |
0 |
1 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_mixin |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test__safe_set_output_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_method |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_method_error |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test__get_output_config |
18 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithSetOutputNoAutoWrap.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_get_output_auto_wrap_false |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_auto_wrap_output_keys_errors_with_incorrect_input |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
AnotherMixin.__init_subclass__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_mixin_custom_mixin |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_mixin_custom_mixin.BothMixinEstimator.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_mixin_custom_mixin.BothMixinEstimator.get_feature_names_out |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_mro |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_mro.Base.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_mro.B.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithSetOutputIndex.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithSetOutputIndex.transform |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithSetOutputIndex.get_feature_names_out |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_pandas_keep_index |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorReturnTuple.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorReturnTuple.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_named_tuple_out |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithListInput.fit |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithListInput.transform |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
EstimatorWithListInput.get_feature_names_out |
1 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_set_output_list_input |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_adapter_class_has_interface |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_check_library_installed |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
test_check_library_installed.patched_import_module |
3 |
1 |
0 |
2 |
1 |
60% |
| sklearn/utils/tests/test_set_output.py |
test_get_adapter_from_container |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_set_output.py |
(no function) |
58 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_shortest_path.py |
floyd_warshall_slow |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_shortest_path.py |
generate_graph |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_shortest_path.py |
test_shortest_path |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_shortest_path.py |
(no function) |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_show_versions.py |
test_get_sys_info |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_show_versions.py |
test_get_deps_info |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_show_versions.py |
test_show_versions |
8 |
0 |
0 |
4 |
1 |
92% |
| sklearn/utils/tests/test_show_versions.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_mean_variance_axis0 |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_mean_variance_axis0_precision |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_mean_variance_axis1 |
21 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_axis_weighted_axis1 |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_axis_weighted_axis0 |
25 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_axis |
47 |
0 |
0 |
16 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_axis_dim_mismatch |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_axis_equivalence_mean_variance |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_no_new_n |
10 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_n_float |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_incr_mean_variance_axis_ignore_nan |
13 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_mean_variance_illegal_axis |
17 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_densify_rows |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_inplace_column_scale |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_inplace_row_scale |
27 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_inplace_swap_row |
38 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_inplace_swap_column |
38 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_min_max |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_min_max_axis_errors |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_count_nonzero |
22 |
2 |
0 |
6 |
0 |
93% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_csc_row_median |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_inplace_normalize |
18 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_csr_row_norms |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
centered_matrices |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_implicit_center_matmat |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_implicit_center_matvec |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_implicit_center_rmatmat |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
test_implit_center_rmatvec |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_sparsefuncs.py |
(no function) |
82 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
test_weighted_percentile |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
test_weighted_percentile_equal |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
test_weighted_percentile_zero_weight |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
test_weighted_percentile_zero_weight_zero_percentile |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
test_weighted_median_equal_weights |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
test_weighted_median_integer_weights |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
test_weighted_percentile_2d |
13 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_stats.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_tags.py |
MoreTagsEstimator._more_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_tags.py |
test_safe_tags_error |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_tags.py |
test_safe_tags_no_get_tags |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_tags.py |
(no function) |
11 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_set_random_state |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_assert_allclose_dense_sparse |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_assert_raises_msg |
3 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_assert_raise_message |
7 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_assert_raise_message._raise_ValueError |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_assert_raise_message._no_raise |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning |
60 |
2 |
0 |
22 |
0 |
98% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning._warning_function |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning._multiple_warning_function |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.decorator_no_warning |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.decorator_no_warning_multiple |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.decorator_no_deprecation_warning |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.decorator_no_user_warning |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.decorator_no_deprecation_multiple_warning |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.decorator_no_user_multiple_warning |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.context_manager_no_warning |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.context_manager_no_warning_multiple |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.context_manager_no_deprecation_warning |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.context_manager_no_user_warning |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.context_manager_no_deprecation_multiple_warning |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.context_manager_no_user_multiple_warning |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_ignore_warning.test |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
TestWarns.test_warn |
4 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
TestWarns.test_warn.f |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
f_ok |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
f_bad_sections |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
f_bad_order |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
f_too_many_param_docstring |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
f_missing |
2 |
2 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
f_check_param_definition |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
Klass.f_missing |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
Klass.f_bad_sections |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
MockEst.__init__ |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
MockEst.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
MockEst.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
MockEst.predict_proba |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
MockEst.score |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
MockMetaEstimator.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
MockMetaEstimator.predict |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
MockMetaEstimator.score |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
MockMetaEstimator.predict_proba |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
MockMetaEstimator.fit |
0 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_check_docstring_parameters |
19 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
RegistrationCounter.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
RegistrationCounter.__call__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
check_memmap |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_tempmemmap |
16 |
0 |
0 |
8 |
2 |
92% |
| sklearn/utils/tests/test_testing.py |
test_create_memmap_backed_data |
22 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_convert_container |
11 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_convert_container_categories_pandas |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_convert_container_categories_polars |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_convert_container_categories_pyarrow |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_convert_container_raise_when_sparray_not_available |
3 |
3 |
0 |
2 |
0 |
0% |
| sklearn/utils/tests/test_testing.py |
test_raises |
42 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_float32_aware_assert_allclose |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_assert_run_python_script_without_output |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_convert_container_sparse_to_sparse |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
check_warnings_as_errors |
13 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_sklearn_warnings_as_errors |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
test_turn_warnings_into_errors |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_testing.py |
(no function) |
76 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_typedefs.py |
test_types |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_typedefs.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_user_interface.py |
test_message_with_time |
17 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_user_interface.py |
test_print_elapsed_time |
4 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_user_interface.py |
(no function) |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_utils.py |
test_is_pypy_deprecated |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_utils.py |
test_tosequence_deprecated |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_utils.py |
test_parallel_backend_deprecated |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_utils.py |
(no function) |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_make_rng |
10 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_as_float_array |
25 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_as_float_array_nan |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_np_matrix |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_memmap |
9 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_ordering |
12 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_force_all_finite_valid |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_force_all_finiteinvalid |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_links_to_imputer_doc_only_for_X |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_force_all_finite_object |
7 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_force_all_finite_object_unsafe_casting |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_series_err_msg |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array |
67 |
2 |
0 |
42 |
2 |
94% |
| sklearn/utils/tests/test_validation.py |
test_check_array_numeric_error |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_pandas_na_support |
15 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_panadas_na_support_series |
11 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_pandas_dtype_casting |
21 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_on_mock_dataframe |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_dtype_stability |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_dtype_warning |
22 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_accept_sparse_type_exception |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_accept_sparse_no_exception |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
X_64bit |
9 |
2 |
0 |
6 |
1 |
80% |
| sklearn/utils/tests/test_validation.py |
test_check_array_accept_large_sparse_no_exception |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_accept_large_sparse_raise_exception |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_min_samples_and_features_messages |
33 |
0 |
0 |
16 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_complex_data_error |
24 |
0 |
0 |
16 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_has_fit_parameter |
8 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_has_fit_parameter.TestClassWithDeprecatedFitMethod.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_validation.py |
test_check_symmetric |
16 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_is_fitted_with_is_fitted |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_is_fitted_with_is_fitted.Estimator.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_is_fitted_with_is_fitted.Estimator.__sklearn_is_fitted__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_is_fitted |
25 |
2 |
0 |
12 |
0 |
95% |
| sklearn/utils/tests/test_validation.py |
test_check_is_fitted_attributes |
29 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_is_fitted_attributes.MyEstimator.fit |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_validation.py |
test_check_is_fitted_with_attributes |
7 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_consistent_length |
13 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_dataframe_fit_attribute |
7 |
2 |
0 |
0 |
0 |
71% |
| sklearn/utils/tests/test_validation.py |
test_suppress_validation |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_series |
6 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_dataframe_mixed_float_dtypes |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_dataframe_with_only_bool |
9 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_dataframe_with_only_boolean |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
DummyMemory.cache |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_validation.py |
test_check_memory |
14 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_memmap |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_non_negative |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_X_y_informative_error |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_retrieve_samples_from_non_standard_shape |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_retrieve_samples_from_non_standard_shape.TestNonNumericShape.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_retrieve_samples_from_non_standard_shape.TestNonNumericShape.__len__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_retrieve_samples_from_non_standard_shape.TestNoLenWeirdShape.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_scalar_valid |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_scalar_invalid |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_psd_eigenvalues_valid |
9 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_psd_eigenvalues_invalid |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_sample_weight |
26 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_allclose_dense_sparse_equals |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_allclose_dense_sparse_not_equals |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_allclose_dense_sparse_raise |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_function |
13 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_function.f1 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_function.f2 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_function.f3 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_function_version |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_function_version.f1 |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_class |
14 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_class.A1.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_deprecate_positional_args_warns_for_class.A2.__init__ |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_method_params |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_sparse_pandas_sp_format |
9 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_pandas_sparse_invalid |
7 |
3 |
0 |
4 |
1 |
45% |
| sklearn/utils/tests/test_validation.py |
test_check_pandas_sparse_valid |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_num_features |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_num_features_errors_1d_containers |
15 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_num_features_errors_scalars |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_get_feature_names_pandas_with_ints_no_warning |
6 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_get_feature_names_pandas |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_get_feature_names_dataframe_protocol |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_is_pandas_df_other_libraries |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_is_pandas_df |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_is_pandas_df_pandas_not_installed |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_is_polars_df_other_libraries |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_is_polars_df_for_duck_typed_polars_dataframe |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_is_polars_df_for_duck_typed_polars_dataframe.NotAPolarsDataFrame.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_get_feature_names_numpy |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_get_feature_names_invalid_dtypes |
5 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
PassthroughTransformer.fit |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
PassthroughTransformer.transform |
1 |
1 |
0 |
0 |
0 |
0% |
| sklearn/utils/tests/test_validation.py |
PassthroughTransformer.get_feature_names_out |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_feature_names_in |
10 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_feature_names_in_pandas |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_response_method_unknown_method |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_response_method_not_supported_response_method |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_response_method_list_str |
15 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_boolean_series_remains_boolean |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_pandas_array_returns_ndarray |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_array_api_has_non_finite |
9 |
9 |
0 |
8 |
0 |
0% |
| sklearn/utils/tests/test_validation.py |
test_check_array_multiple_extensions |
8 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_num_samples_dataframe_protocol |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_check_array_dia_to_int32_indexed_csr_csc_coo |
14 |
0 |
0 |
8 |
1 |
95% |
| sklearn/utils/tests/test_validation.py |
test_to_object_array |
4 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test_column_or_1d |
6 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test__is_polars_df |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
test__is_polars_df.LooksLikePolars.__init__ |
2 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_validation.py |
(no function) |
176 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_weight_vector.py |
test_type_invariance |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/tests/test_weight_vector.py |
(no function) |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
_deprecate_positional_args |
4 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/validation.py |
_deprecate_positional_args._inner_deprecate_positional_args |
11 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/validation.py |
_deprecate_positional_args._inner_deprecate_positional_args.inner_f |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/validation.py |
_assert_all_finite |
14 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/validation.py |
_assert_all_finite_element_wise |
17 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/validation.py |
assert_all_finite |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
as_float_array |
10 |
1 |
0 |
8 |
1 |
89% |
| sklearn/utils/validation.py |
_is_arraylike |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/validation.py |
_is_arraylike_not_scalar |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
_use_interchange_protocol |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
_num_features |
22 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/validation.py |
_num_samples |
18 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/validation.py |
check_memory |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/validation.py |
check_consistent_length |
4 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/validation.py |
_make_indexable |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/validation.py |
indexable |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/validation.py |
_ensure_sparse_format |
30 |
0 |
0 |
24 |
0 |
100% |
| sklearn/utils/validation.py |
_ensure_no_complex_data |
2 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/validation.py |
_check_estimator_name |
5 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/validation.py |
_pandas_dtype_needs_early_conversion |
17 |
2 |
0 |
10 |
0 |
93% |
| sklearn/utils/validation.py |
_is_extension_array_dtype |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
check_array |
104 |
5 |
0 |
88 |
4 |
93% |
| sklearn/utils/validation.py |
check_array.is_sparse |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
check_array.is_sparse |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
_check_large_sparse |
11 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/validation.py |
check_X_y |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/validation.py |
_check_y |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/validation.py |
column_or_1d |
10 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/validation.py |
check_random_state |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/validation.py |
has_fit_parameter |
1 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
check_symmetric |
18 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/validation.py |
_is_fitted |
8 |
0 |
0 |
10 |
0 |
100% |
| sklearn/utils/validation.py |
check_is_fitted |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/validation.py |
check_non_negative |
10 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/validation.py |
check_scalar |
21 |
0 |
0 |
16 |
0 |
100% |
| sklearn/utils/validation.py |
check_scalar.type_name |
9 |
1 |
0 |
6 |
1 |
87% |
| sklearn/utils/validation.py |
_check_psd_eigenvalues |
30 |
0 |
0 |
18 |
0 |
100% |
| sklearn/utils/validation.py |
_check_sample_weight |
17 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/validation.py |
_allclose_dense_sparse |
9 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/validation.py |
_check_response_method |
8 |
0 |
0 |
8 |
0 |
100% |
| sklearn/utils/validation.py |
_check_method_params |
8 |
0 |
0 |
4 |
0 |
100% |
| sklearn/utils/validation.py |
_is_pandas_df_or_series |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
_is_pandas_df |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
_is_polars_df_or_series |
5 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
_is_polars_df |
5 |
2 |
0 |
0 |
0 |
60% |
| sklearn/utils/validation.py |
_get_feature_names |
13 |
0 |
0 |
12 |
0 |
100% |
| sklearn/utils/validation.py |
_check_feature_names_in |
16 |
0 |
0 |
14 |
0 |
100% |
| sklearn/utils/validation.py |
_generate_get_feature_names_out |
3 |
0 |
0 |
2 |
0 |
100% |
| sklearn/utils/validation.py |
_check_monotonic_cst |
27 |
0 |
0 |
20 |
0 |
100% |
| sklearn/utils/validation.py |
_check_pos_label_consistency |
7 |
0 |
0 |
6 |
0 |
100% |
| sklearn/utils/validation.py |
_to_object_array |
3 |
0 |
0 |
0 |
0 |
100% |
| sklearn/utils/validation.py |
(no function) |
63 |
0 |
0 |
0 |
0 |
100% |